scms journal january

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SCMS JOURNAL OF INDIAN MANAGEMENT
Contents
Volume 5
January - March 2008
Title of the Article
Author
Number 1
Page No.
Technological Impact on Society: A Model12
K.Babu Joseph
005- - 008
DMAIC Methodology:The Enigma of Six Sigma
Prabhakar Kaushik and Dinesh Khanduja
009- - 018
Por tfolio Management: Country Funds
Malik N.S.
019- - 035
New “Test”ing Horizons: Web Enabled On-Line
Minimol M.C. and Nalini B.
036- - 042
Tourism Destination: Image Building
Sampad Kumar Swain
043- - 051
Perceptual Mapping: The “Country ” Consumer
and Toilet Soap Branding
Ramakrishnan Venkatesakumar,
Thillai Rajan P. and Ramkumar D.
052- - 064
Interactivity and Adver tising:
A Conceptual Framework
Vinod Kumar Singh, Amit Pandey and
Vinay Pratap
065- - 071
Aura and Ambience in Human Relations:
Private Banks Scene
Anukool Manish Hyde, SulakshanaDeshpande and Mishra D.P.
072- - 079
Guilherme Cunha Malafaia, Julio OtavioJardim Barcellos, Luis Kluwe Aguiar
and Eugenio Avila Pedrozo
080- - 091
Case of Singrauli:
“Energy Smar tness”
Ashok Kumar Tiwari and
Atul Pandey
092- - 102
Referral Marketing in Management
Education: An Overview
Malmarugan D.
103- - 108
Supply Chain Disruption: Risk and Management
Jose Paul
109- - 112
Sales and Distribution Management
Varma R.T.R.
113- - 114
Adver tising and Marketing
Unnikrishnan B.
115- - 116
The HR Answer Book
Susan Chirayath
117- - 117
What the CUSTOMER wants you to KNOW
Satheesh Kumar T.N.
118- - 122
Livestock Farming and Local Agri-Food
System: Scene from Brazil
SCMS Journal of Indian Management, January - March, 2008.
2
The
Chairman
speaks ...
Technological advancement brings about changes in the social firmament also. Industrial revolution,
in the last century, caused large scale migration of people from villages to seek jobs elsewhere in
cities. Many people left farming and opted for factory work, which was more remunerative.
Along with economic prosperity, migration, which continues even today, has brought in its train
better amenities and more comfortable lifestyles. Modern lifestyles are so alluring that it may not
be without its own problems and challenges. Race for achieving more comforts and conveniences is
unending. The stresses and strains brought about along with it are tiresome. But few bother about
it. The displacement has caused fragmentation and alienation in family units. The family units are
now more vulnerable to adversities such as soaring divorce rates, high rates of suicide, entanglement
in debt traps etc.
Apart from all the above, the benefits of technological advancement are not equitably shared within
the society. People who become rich get more opportunities to acquire still better technologies and
utilize them to become richer. Therefore, on the one side technology creates more wealth and on the
other side it leads to greater social divisions.
I hope you might find it interesting to read the lead article in this issue, a paper by Dr. K. Babu Joseph
titled “Technological Impact on Society: A Model.” Dr.Babu Joseph, formerly Vice Chancellor of the
Cochin University of Science And Technology, is our Director of MCA Programmes. In the second
lead article, Prof.Prabhakar Kaushik and Dr.Dinesh Khanduja of NIT, Kurukshetra make a critical
investigation on the application of Six Sigma methodology in process industries and show how
operational excellence can be achieved with certain different ground rules.
As usual, you will find papers on other interesting areas like portfolio management, tourism, human
relations, livestock farming etc. I am sure you will enjoy the assortment. Let me assure you that we
will continue to do everything possible to meet the expectations of our avid readers.
Dr.G.P.C.NAYAR
Chairman, SCMS Group of Educational Institutions
A Quarterly Journal
Published by SCMS-COCHIN
3
SCMS Journal of Indian Management
A Quar terly Publication of
SCMS-COCHIN
Editor-in-Chief
:
Dr.G.P.C.Nayar
Chairman
SCMS Group of Educational Institutions
Editor
:
Dr.D.Radhakrishnan Nair
Professor, SCMS-COCHIN
Editorial Advisory Board
Dr.Subramanian Swamy :
Professor, Har vard University, Cambridge, MA , US.
Formerly Professor of Economics, IIT, Delhi.
Prof.Radha Thevannoor :
Director, SCMS School of Technology and Management,
Kochi.
Dr.Thomas Steger
:
Professor of European Management, Chemnitz University
of Technology, Chemnitz, Germany.
Dr.Kishore G.Kulkarni :
Professor, Metropolitan State College of Denver and
Editor - Indian Journal of Economics and Business,
Denver, US.
Dr.Naoyuki Yoshino
Professor of Economics, Keio University, Tokyo, Japan.
:
Dr.Mathew J.Manimala :
Pr o f e s s o r o f O r g a n i z a t i o n B e h a v i o u r a n d J a m u n a
Raghavan Chair Professor of Entrepreneurship at the
Indian Institute of Management, Bangalore.
Dr.Tapan K.Panda
:
Professor of Marketing, Indian Institute of Management,
Indore.
Dr.Azhar Kazmi
:
Professor, Depar tment of Management and Marketing, King
Fahd University of Petroleum & Minerals, Dhahran, Saudi
Arabia.
Dr.Jose Maria Cubillo-Pinilla :
P r o f e s s o r, I n t e r n a t i o n a l M a r k e t i n g , P o l y t e c h n i c
University of Madrid, Spain.
Dr.I.M.Pandey
:
Professor and Dean, Asian Institute of Technology, Klong
Luang, Pathumthani, Thailand.
Dr.George Sleeba
:
Chair man and Managing Director, The Fer tilisers and
Chemicals Travancore Ltd., (FACT) Udyogamandal,
Kochi, Kerala.
Mr.Jiji Thomson IAS
:
Principal Secretary to Government of Kerala.
A Quarterly Journal
4
Editorial
The Ear and Business
The sensory organ of the auditory system is the ear. Sound waves cause the
tympanic membrane (ear-drum) to vibrate and humans can hear sounds: waves
with frequencies between 20 and 20,000 Hz. This faculty of the ear is greatly
related to business today.
Consumer spending on music is noted in three sectors: recorded music, live
music, and music instruments. Recorded music dominates, but this large market
is on the cusp of a technological revolution that will eventually transform the
way the majority of people buy music. By 2010 legal down loading will account for more than a third of consumer
spending on recorded music. In mainstream music, recording and marketing are now dominated by just four
majors worldwide: UK’s EMI Group PLC, Universal Group and Warner Music Group (US), and SONY BMG
(Japan/Germany). The world of music provides an excellent metaphor for today’s business climate: by examining
the orchestra and the conductor, the jazz band and improvisation, the composer and innovation, music and
management, it introduces a dynamic vocabulary for discussing leadership, teamwork, creativity and personal
development, inviting participants to explore new ways of thinking about business practice.
Every business is becoming a “music business” or, more accurately, an entertainment business. Tom Peters
claims that it’s barely an exaggeration to say that everyone is getting into the entertainment business. Music
Business to Musician Business taking a cue from the cyber-bard John Perry Barlow, we could see a paradigm
shift from the domination of the music business to that of the musician business. What do the cultural industries
do? The cultural industries, the recording industry, the arts, television, and radio commodify, package, and
market experiences as opposed to physical products or services. Their ‘stock in trade’ is selling on short term
access to simulated worlds and altered states of consciousness. The fact is that they are an ideal organizational
model for a global economy that is metamorphosing from commodifying goods and services to commodifying
cultural experience itself. The same forces that are undoing the larger business companies are empowering
individual musicians. As a result, the idea of a music career is sprouting new wings as artists and industry
careerists begin discarding intoxicating myths and tapping into some new-found powers. The triune Music
Industries develop side by side: the mainstream pop/rock business, will continue to market established stars
like Celine Dion and Whitney Houston, the chaotic illegal record business will involve pirates and bootleggers,
and the indie, genre music scenes (local players connected through websites and digital radio, but commercial
in their niche) will make enough money to go on making music.
Music may be defined romantically as the food of love
(Shakespeare). Music, in prosaic business terms, is sound with
particular characteristics. However, it is undeniably a vibrant art form
and one which touches more people, in more ways than any other
art form.
In business, music certainly generates a higher market value than
the other arts, although a comprehensive market size for music in
all its manifestations is impossible to calculate.
Editorial Assistant: Mr.E.V.Johnson
A Quarterly Journal
Assistant Editor: Dr.Susan Chirayath
5
Technological Impact
on Society: A Model
K.Babu Joseph
Kurzweil's model of technological growth (Kurzweil, 2005a) has been criticized for its failure to
address the social impact. An alternative model is proposed with focus on the number of technological
gadgets in use per person, rather than the total number of innovations which includes inventions as
well as technologies. The fundamental differential equation in the present formulation contains two
parameters λ and µ, called the technological adoption rate and retentivity respectively. Its solution
yields the technological utilization factor (TUF), T. The ratio of T(t) to T(0) for arbitrarily large times,
called the technological impact factor (TIF), is shown to be equal to 1 +
1
µ
.
For finite µ, however
small, there is no singularity in the model, despite the possibility that the impact can be considerable
on a society which is favourably disposed towards technological change.
T
he growth of science and technology over the past
and knowledge (Ray, 1998). All this has become possible
three or four centuries has trapped mankind in a
thanks to giant leaps made in science and technology.
state of euphoria concerning achievements in the
economic, political and social
Recently Kurzweil (2005a) has put
spheres. E c o n o m i s t s i n t h e
forward the stunning hypothesis
p a s t h a v e extensively studied the
that human knowledge is expanding
phenomenon of economic growth
beyond bounds and will soon hit a
(Sen, 1970; Barron and Sala-i-Martin,
singularity (infinity). He speaks as if
2004). Gradually the concept of
this is an immediate cer tainty.
development has emerged as allSeveral earlier authors have also
round progress. Development no
made speculations along similar lines
longer refers to creation of wealth
(Kur zweil, 2005b). We shall
alone but also diverse things such
however accord his statement only
D r. K . B a b u J o s e p h , D i r e c t o r - M C A P r o g r a m m e ,
as eradication of pover ty and
the status of a hypothesis, because,
Dr.K.Babu Joseph, Director-MC A Programme, SCMS
S C M S S c h o o l o f Te c h n o l o g y a n d M a n a g e m e n t
malnutrition, increase in life
centred as it is, on the possibility of
School of Technology and Management (SSTM), Prathap
( S S T M ) , P r a t h a p N a g a r, M u t t o m , A l u v a - 6 8 3 1 0 6 ,
expectancy and quality of life,
reducing all knowledge to
Nagar, Muttom, Aluva-683 106, Cochin. He is formerly
Cochin. He is Former Vice Chancellor of Cochin
and medicare. Linked to it are
computable knowledge, it says
Vice Chancellor of Cochin University of Science And
U n i v e r s i t y o f S c i e n c e A n d Te c h n o l o g y, C o c h i n .
factors like reduced infant
nothing about the response of
Technology, Cochin, Email: [email protected]
Email: [email protected]
mortality and access to education
society towards innovations. Even
A Quarterly Journal
if the world of knowledge were to blow up, there is no
guarantee that the singularity would be readily welcomed by
the society. This gives the motivation to formulate an alternative
approach which emphasizes the social impact of technological
progress. In this paper a theoretical formulation of such a
model that incorporates only measurable quantities is
presented.
Kurzweil’s Singularity Hypothesis
6
Kurzweil model would still predict exponential growth in W
with time. The model is not realistic to the extent that it does
not say anything about how the development in knowledge
will be received by the society. Just as there survive vast
sections of people below the pover ty line, there are also
large islands of ignorance in society. This is the current
situation in several countries. The truth is that the waves of
knowledge explosion are too slow to reach the common
people living there.
Kurzweil (2005a) defines the singularity as a future period,
during which the technological change will be so rapid that
human life will be irreversibly transformed. He has enunciated
what he calls the law of accelerating returns which predicts
that the pace of change of human created technology is
accelerating at an exponential rate. The gist of his argument is
that, within a few decades, information-based technologies
will engulf the entire gamut of knowledge as well as diverse
forms of intelligence. There is every chance of the emotional
and ethical behaviour of humans is also stimulated by artificial
intelligence software.
Technology Impact Model
Besides physical time t, he introduces the two quantities V
and W, where V denotes the velocity or power of computations
expressed in terms of computations per unit cost, and W is
the world knowledge in respect of computer manufacturing.
He also makes the following assumptions:
V is proportional to W.
The rate of change of world knowledge is
proportional to V.
The resources used for computation are growing
exponentially.
We assume that the technological impact on a society is
measurable in terms of the number of gadgets employed by it,
where the term gadget refers to any contraption or device
used to augment the comforts of life. Since research is also a
social activity, the tools used in scientific investigations are
also subsumed by this quantity. It comprises the number of
radio sets, TV sets, air conditioners, washing machines,
computers, computer-based devices, vehicles, machine tools
and so forth. The specification of items like these is essential
for defining the parameters of the model whose values depend
on the items included in this list.
Kurzweil then shows that the world knowledge accumulates
at a double exponential rate:
[1]
W=Wo exp (k exp ct)
We define the technology level N of a country or community
as the total number of (specified) gadgets used by the people,
in the sense outlined above.
where k and c are constants, defined in terms of other
constants, and W o is the initial value of W.
The technology utilization factor TUF is the ratio of N to the
population P under consideration:
(i)
(ii)
(iii)
The assumption listed as (iii) above implies exponential growth
of the economy. This is a debatable point, because it is known
from extensive data that the annual per capita growth rate is
less than 10 per cent in almost all countries (Barro and Sale-iMartin, 2004). Even if this assumption were rejected, the
A Quarterly Journal
The inadequacy of the Kurzweil model in expressing the social
impact of technological growth motivates the formulation of
a new approach to the problem. To keep matters as concrete
as possible, we exclude purely theoretical developments in
society from this study on the plea that, sooner or later,
technology absorbs the philosophical turbulence that rocks
the scientific boat from time to time, and that quantification
would be easier with the abstract content excluded from the
model.
TUF = N/P
[2]
It is clear that TUF is analogous to GDP. We denote TUF by T.
It is a function of GNP which in turn, depends on time. So
it is reasonable to attribute temporal dependence to T. Thus
T = T (t)
7
[3]
At a point of time, T may be regarded as depending on the
stock of technical gadgets available per person, as well as on
the person’s affinity towards the gadgets already in possession.
Those who own some of them are likely to aspire to buy more
such objects. People who already have a bike or small car go in
for a small car or a big car, as the case may be, while retaining the
old one. There is a group who steadfastly cling to the objects
they own and do not want to buy new things. To buy or not to
buy new things—that is the question!
The rate of change of T is determined by its current value as well
as the tendency not to change it or to retain existing stock.
Accordingly we postulate the following rate equation:
[8]
This result is interesting, because it explains the two extreme cases:
(i)
= 0, (ii)
= . The first of these represents the ideal
Kurzweil situation in which technology undergoes infinite growth
while the second highlights the attitude of a tradition-bound society
that refuses to accept anything new. In a realistic case, 0< < ,
and the current model is expected to account for all cases of
technological impact. Because of poverty or conservatism, will
be different from zero in practice. Hence there is no singular
behaviour in TIF even at infinitely large times.
The time required for TIF to double is given by the expression:
[9]
[4]
The time required for trebling is
where the parameters and are called the technology adoption
are defined to be
rate and retentivity respectively. Both and
positive. Their actual values depend on the list of articles used in
defining T. The first term on the right in (4) represents an increase
in
with T while the second term represents a decrease with
T 2. The net rate of change in T is a ‘compromise’ between the two
rival tendencies, namely adoption and rejection. It is worth noting
that the first term in our model mimics the only such term in the
Kurzweil formulation which features W the world knowledge, rather
than T.
The novel feature, herein introduced is the ‘retentivity’ term - T 2.
The differential equation (4) can be solved exactly to yield T as a
function of time:
[5]
where
β
is an integration constant. Alternatively, the solution of
(4) is expressed in the form
[6]
The technology impact factor (TIF) is defined by the ratio
[10]
From an annual enumeration of T values for a social group
over a period of 10 to 20 years, a fairly accurate
determination of and would be possible. It may even
turn out that education and global economic influences
modify their values once in a while, leading one to suspect
a temporal dependence for them. But over a shor ter span,
say five to ten years, and are likely to remain constant
in most countries.
Concluding Remarks
We have presented a new model of influence of technology on
society as a viable alternative to that of Kurzweil in which the
psychological factor inhibiting technology adoption, namely
retentivity, is overlooked. The current model is based on how a
real society responds to technological progress. The formulation
showcases the parameters and , which can be evaluated
for a given social group, using relevant data over a period which
and
are
is not too long. Over sufficiently long periods,
also liable for change, falsifying the long-term prediction made
in (8). But the usefulness of the model as a better approximation
than Kurzweil’s over comparatively short epochs, is clear.
[7]
Acknowledgements
TIF is evaluated by invoking L’Hospital’s rule of calculus.
Accordingly we find:
A Quarterly Journal
The author thanks his colleagues for valuable discussions
which took place during a Satchat [meeting place for
academics] session, at SCMS. The author is also grateful
to Dr.G.P.C.Nayar, Chair man, SCMS Group of Educational
Institutions, for encouragement and suppor t.
References
Bar row, Rober t J., and Sala-i-Mar tin, Xavier. Economic
Growth (Second Edition). Prentice-Hall of India,
New Delhi: (2004): 12-21.
A Quarterly Journal
8
Ku r z w e i l , R a y . T h e S i n g u l a r i t y i s n e a r. N e w Yo r k :
(2005): (a) 7-17, 491-493, (b) 24, Viking.
Ray, Debraj. Development Economics. New Delhi:
O U P, 1 9 9 8 . 9 - 1 0 .
Sen, Amar tya (Editor), Growth Economics: Selected
Readings. Penguin, Hammondswor th, 1970.
9-40.
9
DMAIC Methodology:
The Enigma of Six Sigma
Increasing competitive pressure in all business sectors is reflected in the continuing quest for business
improvement philosophies and methodologies. Recent developments have included more organizational
and academic interest in the Six Sigma approach for business improvement. Six Sigma is a powerful
breakthrough improvement business strategy that enables companies to use simple but powerful statistical
methods to define measure, analyze, improve and control (DMAIC) processes for achieving and sustaining
operational excellence. In the past few years, successful cases of Six Sigma implementation have been
reported in numerous manufacturing industries. This technique has also been implemented in some service
industries, but the same cannot be said about its implementation in the process industries. Applying Six
Sigma to process industries is still limited. This paper reviews the application of Six Sigma DMAIC methodology
in process industries with certain different ground rules and shows how the goals for Six Sigma in process
industries can be achieved and surpassed through the complimentary usage of Six Sigma methodology.
.
I
n today’s fast paced global economy market constraints are
customers and organizations. Six Sigma as a measurement
demanding that companies produce their product more quickly
standard in product variation can be traced back to the 1920
and with a better quality. The
when Walter Shewhart showed
fast changing economic
that three sigma from the mean is
conditions such as global
the point where a process
competition, customer ’s
requires correction (Pande et al.,
demand for high quality
2000). Motorola is the oft-cited
products had a major impact
creator of the formal Six Sigma
on organizations. Highest
methodology. Smith (1993)
quality products and services
implies that Motorola first
were required to be offered
embarked on its Six Sigma
at the lowest possible costs
quality initiative in the mid-1960s
for m a x i m i z i n g c u s t o m e r
and the concept of impleP r o f . P r a b h a k a r K a u s h i k , A s s i s t a n t P r o f e s s o r, M e c h a n i c a l
satisfaction. Developers
menting Six Sigma processes
E n g i n e e r i n g D e p artment, N . C . C o l l e g e o f E n g i n e e r i n g , I s r a n a
(Panipat) Haryana, E-mail: [email protected]
needed to create innovative
was pioneered at Motorola in
complex products in lesser
the 1980s. Their approach was
D r. D i n e s h K h a n d u j a , A s s i s t a n t P r o f e s s o r, M e c h a n i c a l
time. Six Sigma approach if
based on rigorous Japanese
E n g i n e e r i n g D e p a r t m e n t , N a t i o n a l I n s t i t u t e o f Te c h n o l o g y,
applied prudently can meet
theories of TQM for use in the
Kurukshetra (Haryana), India, E-mail: [email protected]
these expectations of
manufacturing process, where
A Quarterly Journal
defects are relatively easy to spot and count and thus well suited
to the high-volume, high precision electronics industry that has
highly complex processes (De Feo, 2002). Motorola’s specific
involvement with Six Sigma began in 1982, when it implemented
a quality-improvement program focused on manufacturing.
Motorola’s CEO asked his corporate managers to cut quality costs
in half that year. He repeated the charge in 1983. By 1984, the cost
reduction efforts were beginning to point to the need for improved
analytical methods and product design for continued process
improvement. The company ’s emphasis focused on design
quality and a number of advanced quality tools were employed
(Hendericks and Kelbaugh, 1998). It is no surprise that the first
proponents of Six Sigma after Motorola were Texas Instruments,
Allied Signal, Eastman Kodak, Borg-Warner Automotive, GenCorp,
Navistar International and Siebe plc (Kumar, 2002). These
forerunners of Six Sigma documented their discoveries and
successes and, in the ensuing years, other companies followed
their lead. While the original goal of Six Sigma was to focus on the
manufacturing process, it became clear that the distribution,
marketing and customer order processing functions also needed
to focus on reaching Six Sigma quality standards (Smith, 1993)
and eliminating defects throughout the organization’s processes.
Motorola eventually developed its Six Sigma tools curriculum and
created Six Sigma practitioner qualifications. These early efforts
led the company to winning the Malcolm Baldrige Award in 1988
(Hendericks and Kelbaugh, 1998).
What is Six Sigma?
Sigma (σ) is a letter in the Greek alphabet that has become the
statistical symbol, which is used in mathematics and statistics to
define standard deviation. The sigma scale of measurement is
perfectly correlated to such characteristics as defects-per-unit,
parts-per-million defective, and the probability of a failure. Six is
the number of sigma measured in a process, when the variation
around the target is such that only 3.4 outputs out of one million
are defects. Coronado and Antony (2002) pointed out that Six
Sigma methodologies have recently gained wide popularity
because it has proved to be successful not only at improving
quality but also at producing large cost savings along with those
improvements. So, an organization needs to give smarter Six Sigma
solutions that are linked to bottom line benefits. Kumar
(2002) has stated that Six Sigma is a statistical measurement,
which provides the oppor tunity and discipline to eliminate
mistakes, improve morale, and save money. Doing things
rightly and keeping them consistent are the basic ideas
A Quarterly Journal
10
behind Six Sigma. A fundamental objective of Six Sigma is
to achieve customer satisfaction with continuous
improvement in processes.
According to Harry CEO of Six Sigma Academy Phoenix, USA:
⇒
Six Sigma is a well structured, disciplined, data driven
methodology for eliminating defects, waste, or quality
con trol problems of all kinds in manufacturing, service
delivery, management and other business activities.
⇒
It is a business strategy that allows companies to drastically
improve their performance by designing and monitoring
everyday business activities in ways that minimize waste
and resources while increasing customer satisfaction.
According to O’Neill and Duvall (2004), Six Sigma (6σ) is a
disciplined quality improvement methodology that focuses on
moving every process that touches the customers - every product
and service - towards near perfect quality. It is measure of the
company’s quality. Maleyeff and Krayenvenger (2004) noted that
Six Sigma implies three things: statistical measurement,
management strategy and quality culture. It is a measure of how
well a process is performing through statistical measuring of quality
level. It is a new management strategy under leadership of the top
management creates quality innovation and total customer
satisfaction. It is also a quality culture. It provides the way to do
things right the first time and to work smarter by using data
information. It also provides an atmosphere to solve many CTQ
(critical-to-quality) problems through team efforts.
Six Sigma Goals
Six Sigma is a disciplined, data driven approach and methodology
for eliminating defects (driving towards six standard deviation
between the mean and the nearest specification limit) in any process
from manufacturing to process industry and from product to service.
The statistical representation of Six Sigma describes quantitatively
how a process is performing. Six Sigma’s goal is the near elimination
of defects from any process, product or service-far beyond where
virtually all companies are currently operating.
Six Sigma focuses all function on “processes.” Every process/
procedure has an expected outcome/measurement called a
“mean.” Every outcome/measurement has some variation. The
11
measure of that variation is called sigma. Thus, the focus of Six
Sigma methodology in manufacturing/process is to reduce
variation as shown in figure 1. The numerical goal of Six Sigma
is reducing defects less than 3.4 par ts per million (PPM), also
know as Defects Per Million Opportunities (DPMO), reducing
cycle time and reducing costs dramatically which impact the
bottom line. Reducing variation and mean is the essence of Six
Sigma and a Six Sigma defect is defined as anything outside
the customer specification. The parts per million defective with
respect to various sigmas are given in Table 1.
Figure 1- Reducing Variation - Reducing Defects
Ta r g e t
Specification Limit
Some Chance of
Failure
The higher the number
(Z) in front of the sigma
symbol the lower the
chance of producing a
defect
Much Less Chance
of Failure
Table 1: Sigma and Corresponding PPM
Sigma
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Per cent Yield
PPM
PPM
6
99.9997%
3.4
5
99.98%
233
4
99.4%
6,210
3
93.3%
66,807
2
69.1%
308,537
1
30.9%
691,462
12
Nature of Statistical Problems
vanished if variation could have been vanished. This type of
problem is mainly associated with product industries.
Six Sigma is a statistically based quality tool as it deals with
the statistical problems. The nature of statistical problem is
shown in figure 2 and figure 3.
Figure 3 shows the problem with centering or the mean
value. This type of problem is mainly associated with the
process industry where consumption rate is very high
and to reduce the consumption rate, statisticians have to
develop methodology and tools for estimating,
comparing, controlling and reducing mean value.
Figure 2 shows the problem with spread or variation. Most of the
quality and management problems are due to the existence of
product variation. All defects and non-conformities would have
Figure 2 – Problem with Spread or Variation
Desired
Accurate but not precise
Current
Situation
T
LSL
USL
Figure 3: Problem with Centering or the Mean Value
Desired
Precise but not
Accurate
Current
Situation
T
LSL
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USL
13
Application of Six Sigma DMAIC
that needs to be followed is that of the logical
reasoning and patience. The expectation from Six
Sigma should be of gradual and continual improvement
in the process.
Methodology in Process Industries
Six Sigma, as a quality tool has found place primarily in
manufacturing industries where there is a specific product with
specified dimensions, which are measurable at every
intermediate stages of manufacturing for making necessary
measurements and analysis. On the other hand, in the process
industries, no such convenience is available. The working fluid
in these industries may not be visible and its quality is measured
by the various instrumentations mounted on the process
hardware in the form of pressure, temperature and flow
measurement. Application of Six Sigma to such processes is
possible with same kinds of tools, but cer tain different
ground rules are required to be laid down before starting such
an exercise. The ground rules that are to be followed: ⇒
⇒
⇒
Normally in manufacturing industries, the production
is already operating at 1-2 sigma level and by applying
Six Sigma methodology it can be raised up to 5-6
sigma levels, whereas in process industries, there are
many sub- processes that operate even at negative
sigma level because of being secondary in nature and
here improvement potential is up to 2-3 sigma level
with logical tools application only and the cost benefits
accrued thereof are quite significant.
In a product manufacturing, the defined dimension of
the product is required to be maintained and dimension
is measurable. Both upper and lower limits are normally
specified for the measured value. On the other hand,
for the measured value in the process industries,
normally there is limit only on one side i.e. upper or
lower limit e.g. Impurity in a chemical compound or
consumption of water in a process. The impurity level
in a chemical compound should not increase beyond
a certain upper limit, while no lower limit is required to
be defined as it is of no importance.
Normally the process industries are huge investment
industries viz. Thermal Power Plant, a Fertilizer Unit, a
Chemical Plant. It may not always be possible to improve
sigma level of the process by applying breakthrough
improvements/changes. So in process industries, a
quantum jump in the sigma value by application of Six
Sigma tools should not be expected. The approach
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⇒
For doing measurement Gauge R&R study, it is not
always possible to check the instrument healthiness at
any point of time or even taking it on to a laboratory
may not always be possible. So measure phase of
process industry presents a different scenario as
compared to manufacturing industry. The process
industry being a continuous process, does not have
discrete outputs within the process which can be
measured separately i.e. the item measure is not a
specific event. For such situations, another measuring
device of tested accuracy and characteristics needs
to be put in series to the original instrument before
Gauge R&R study (It may require shutdown of the
process for some time). It will assist in cross checking
the existing measurement device also.
⇒
Substantial shor t-ter m benefits can be easily
calculated of any quality improvement technique in a
manufacturing industry. On the other hand, in a process
industry, the short term benefits may not always be
appreciable. The fact that needs to be kept in mind
here is the life span of that industry (usually it is 15 to
25 years). The benefits potential of the Six Sigma
application also needs to be calculated over the entire
life span, then only the final decision regarding
applicability of Six Sigma tools can be reached.
Methodology Adopted
For any problem solving, the methodology adopted must cover
all possible causes of problem. If the methodology of problem
solving is not comprehensive enough, the solution arrived at won’t
be complete and the problem shall resurface sooner or later.
A process flow chart is prepared to proceed in a sequential
manner and to present a one shot picture of the entire
methodology, as shown in the figure 4.
Literature survey is chosen as the first step to know the present
status of research and application of Six Sigma in the process
14
Figure 4 – Flow Diagram of Methodology Adopted
LITER ATURE SURVEY
▼
CASE STUDY OF PROCESS INDUSTRY
▼
I D E N T I F I C AT I O N O F P R O B L E M
▼
DATA COLLECTION
DMAIC METHODOLOGY
▼
DEFINE
▼
MEASURE
▼
ANALYSE
▼
IMPROVE
▼
CONTROL
Identify Specific Problem
Define Customer Requirements
Set Goals
High Level Process Map
Measurement System Analysis
Data Collection Plan
Identify Variation due to Measurement System
Gauge R & R Study
Draw Conclusion from Data Verification
Process Capability Analysis
Determine Root Causes
Map Cause and Effect Diagram
Create Improvement Ideas
Create Solution Statements
Implement Improvement Solutions
Monitor Improvement Progress
Make Needed Adjustments
Establish Standard Measures to Maintain Performance
▼
I M P R O V E M E N T R E S U LT S
▼
CONCLUSIONS
▼
SCOPE FOR FUTURE WORK
industry. From the literature survey, it is found that most of the Six
Sigma work has been carried out so far in manufacturing
industries only and there is a definite scope of improvement in
process industries through Six Sigma application. For this reason,
an initiative has been taken to apply Six Sigma to a process
industry.
Six Sigma tools and techniques are applied to the collected
data using DMAIC methodology. Minitab software for Six
Sigma, which is easily available, is used for data analysis.
The study covers the following phases of DMAICmethodology. The details of each step taken for our study
is as follows: -
maintenance of focus of Six Sigma strategy on customers’
requirement. The quality problem that requires break
through solutions has to be defined in measurable
terms. The defining of the problem is the first and the
most impor tant step of any Six Sigma project because
better understanding of the problem makes the job
much easier later on during analysis. The defining of
the problem forms the backbone of any Six Sigma
project. The objectives to define a problem are as
listed: ♦ To identify the process or product for improvement
♦ To identify the voice of customer
♦ To identify the customer ’s requirements and translate
the customer needs into CTQ’s
Define
Define the problem and what the customer requires
(Henderson and Evans, 2000). The define phase sets the
expectation of the improvement of project and
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There are many tools used in Six Sigma methodology for defining the
problem but the “High Level process map - a SIPOC diagram” as
shown in figure 5, is one of the best tools being used in defining a
problem as it fulfills all the basic objectives to define a problem.
15
▼
INPUT
▼
Figure 5 - SIPOC-Diagram
PROCESS
OUTPUT
SIPOC MODEL
SUPPLIER
INPUT
PROCESS
OUTPUT
CUSTOMER
Figure 6 - Possible Source of Variation
OB SERVERED PROCES S VARIATION
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ACTUAL PROCES S VARIATION
MEA SUREMENT VARIATION
VA R I AT I O N D U E T O G A U G E
VARIATION DUE TO OPERATOR
R E P E A TA B I L I T Y
REPRODUCIBILITY
16
Within SIPOC-diagram, the letters stand for-
a) Run Chart
Supplier
The people or organization that provides
information, material and other resources to be
worked on in the process.
Input
The information/material provided by suppliers
that are consumed or transformed by the
process.
Process
The series of steps that transforms the inputs.
Output
The product or Service used by the customer.
Customer The people, company or another process, that
receives the output from the process.
A run char t or trend char t is a very simple technique for
analyzing the process in the development stage. The
impor tant point is to draw a picture of the process and let
it “talk” to you. A picture is wor th a thousand words,
provided someone is listening.
Measure
Run chart is constructed from a measurement that has been
gathered over time (Usually at regular intervals such as hourly,
daily, weekly) and than plot with time order. Purpose of this
chart is to measure and track a key input, process or output
measure over time and helps a team look at whether there are
patterns over time in the problem. It mainly identifies the special
cause of variation. Common cause variation is a natural part of
process. Another type of variation, called special causes, comes
from outside the system and causes recognizable pattern, shift,
or trends in the data. The run chart shows if special causes are
influencing the process.
Six Sigma is based on measured data. The measure phase
identifies the defects in the product, gathers valid base line
information about the process. There will be unfavourable
consequences from analysis using Six Sigma tools if there is
problem with measuring system. The observed possible source
of variations in a process, as shown in figure 6, is the actual
process variation and measurement variation.
To address actual process variability, firstly it is necessary to
identify the variation due to measurement system and to
separate it out from the process. The goal of the measure
Plotting a run char t is the first step in data analyzes as without
a run chart, other data analysis tools - such as the process
capability and histogram analysis can lead to erroneous
conclusions.
the process gets worse and the experiment will end up failure.
Minitab software is used to plot the value of each data points
and plotting the run chart. It is used to provide the information
on the non-random variation due to trends, oscillation, mixtures,
and clustering.
Therefore it is very important to secure a correct measuring
b) Histogram
phase is to ensure that the measurement system is statistically
confident otherwise if there is problem with measuring system,
system before the project. In the Measure Phase, a measurement
system analysis (MSA) is conducted which includes the Gauge
R&R studies (Raisinghani, 2005). The purpose of the Gauge R&R
study is to ensure that the measurement system is statistically
sound. Gauge repeatability and reproducibility studies determine
how much of the observe process variation is due to the
measurement system variation.
Analyze
The first “Statistical” SPC technique is the histogram, which helps
to display the large data that is difficult to interpret. It is used to
examine the shape and spread of sample data and it provides
the better view of the center, distribution and shape of data.
The data is displayed on a chart on which the horizontal axis is
marked off in increasing values (from right to left) and vertical
axis shows the frequency. Histogram divides sample values into
many intervals called bins. Bars represent the number of
observation falling within each bin (its frequency). Minitab is
used to plot each data points and plotting the histogram.
According to Kapur & Feng (2005), the analyze phase examine
the data collected in order to generate a prioritized list of
c) Process Capability Analysis
source of variation. Many statistical tools are used to carry
out the analysis which are explained as follows:-
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Process capability analysis is done to find out the actual state of the
process. The existing DPMO or PPM level which is the way to
calculate the sigma level or yield of a process is determine
using process capability analysis. Minitab software is used
for analysis the data and it generates a process capability
repor t, which includes a capability histogram overlaid with
normal curve and the complete tables of capability statistics.
17
removes the root cause of the problem. The control phase is
preventive in nature. All the possible related problem of the specific
identified problem from the analysis phase are tackled in control
phase.
♦
d) Fishbone Diagram
♦
After knowing the DPMO and sigma level of the process using
process capability analysis, a fishbone or cause and effect
diagram is to prepare. It is a structured brainstorming tool. A
cause-and-effect (C&E) diagram is a picture composed of lines
and symbols designed to represent a meaningful relationship
between an effect and its causes. It is used to summarize the
problem statement in the “head” of fish, with potential causes
arranging in sets of bones link to the head. This graphical tool is
used to identify the relationship between a problem and
possible cause of problem and being created by using the
expert’s experiences and critical analysis of process.
♦
e) Bar Chart
Bar chart is a pictorial representation of a data over a period or
under different heads for a given period. Instantly, it gives the
areas, which need immediate attention, and presents the relative
comparison of the data between different heads. It is a simple
and effective tool of data presentation, which helps to focus on
the components of the problem that have the biggest impact.
Improve
Improve the process to remove cause of defects. The optimal
solution for reducing mean is determined and confirmed in
improve phase. The gains from the improve phase are immediate
and are corrective in nature. Specific problem identified during
analysis are attended in improve phase. This stage involves:
♦
♦
♦
♦
Use of brain storming and action workouts.
Process optimization and confirmation experiment.
Extracting the vital few factors through screenings.
Understanding the co-relation of the vital few factors.
Control
Control the process to make sure that defects don’t recur i.e.
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It mainly defines control plans specifying process
monitoring and corrective action.
Provides systematic re-allocation of resources to ensure
the process continues in a new path of optimization.
Ensures that the new process conditions are
documented and monitored.
Conclusion
The purpose of this paper is to provide a sound discussion on Six
Sigma DMAIC methodology and see how it fits in with quality and
operational excellence initiatives from manufacturing to process
industries. This paper reviews the implications of applying Six Sigma
methodology over the process industries. The strategic
implementation of Six Sigma in steps (DMAIC) leads to an
optimisation of some selected process parameters, thus resulting
in substantial saving in overall operational costs of a process
industry. The study could be a paradigm initiative towards energy
conservation for every energy intensive process industry. Through
critical investigation of Six Sigma and its statistical tools, the study
illustrates certain ground rules, which are required to be laid down
before starting such an exercise with same kind of tools. Use of
these ground rules will make Six Sigma more effective, more
productive with less effort and less consumption. It shall
provide useful information to practitioners and researchers
planning to practise Six Sigma methodology in process
industries to understand its pros and cons. Process industries
that wish to accelerate development of their own quality
program can utilize the evolutionary approach explained
in this paper to understand their current level of evolution
and to implement focused action that can quickly
strengthen them to sustain market competition.
Key words: Six Sigma, DMAIC, DPMO, PPM, Gauge R&R,
Process industries.
References
Coronado, R. and Antony J. “Critical Success Factors for the
Implementation of Six Sigma Projects in Organization.”
The TQM Mag., 14 (2002): 92-99.
De Feo, Joseph A . and Bar-Eilzion, “Creating Strategic
Change More Efficiently with a New Design for
Six Sigma Process.” Journal of Change
Management. 3 (2002): 60-80.
Har r y, M.J. “Talk about Six Sigma.” Green Belt Training
Repor t. General Electric Company, India 2001.
Hendericks, C. and Kelbaugh, R. “Implementing Six Sigma
at GE.” The Jour nal for Quality and Par ticipation.
July/August 1998.
Henderson, K.M. and Evans, J.R. “Successful
Implementation of Six Sigma: Benchmarking:
General Electric Company.” Benchmarking: Int
J., 7 (2000): 260-282.
Kapur, K.C. and Feng, Q. “Integrated Optimisation Models
and Strategies for the Improvement of the Six
Sigma Process.” Int. J. Six Sigma comp adv, 1
(2005): 210-228.
Kumar, P. “Six Sigma in manufacturing.” Prod J, 43 (2002):
196-202.
Mahanti, R. and Antony, J. “Confluence of Six Sigma
Simulation and Software Development.” Manag
A Quarterly Journal
18
Audi J., 20 (2005): 739-762.
Maleyeff, J. and Krayenvenger, D.E. “Goal Setting with Six
Sigma Mean Shift Determination.” Air Engg Aero
Tech. 76 (2004): 577-583.
O’Neill, M. and Duvall, C.A . “Six Sigma Quality Approach
t o Wo r k - p l a c e E v a l u a t i o n . ” J Fa c i l M a n a g . 3
(2004): 240-253.
Pandey, P.S., Neuman, R . and Cavanagh, R . The Six Sigma
Wa y : H o w G E , M o t o r o l a a n d O t h e r To p
Companies are Honing their Performance.
McGraw Hill, New York, NY: 2000.
Park, S.H. “Six Sigma for Productivity Improvement: Korean
Business Corporations.” Prod J., 43 (2002): 173183.
Raisinghani, M.S., Ette H., Pierce R., Cannon G., and
Daripaly P. “Six Sigma: Concepts, Tools, and
Applications.” Ind Manag Data Sys. 105 (2005):
491-505.
Smith, G. “Benchmarking success at Motorola.” Copyright
Society of Management Accountants of Canada.
March 1993.
19
Portfolio Management:
Country Funds
Malik N.S.
This study is an attempt to investigate the performance of country funds by using the data of developed
and emerging markets of the world. The world of investment management follows the two approaches
referred as active and passive management. The present study incorporates both these approaches to
analyze the relative performance of country funds vis-à-vis their respective bench mark indices across
the emerging and developed markets of the world. The results indicate that the country funds that
follow the active por tfolio management strategies have proved to be dramatically different in reporting
the significantly higher returns (in US Dollar terms) compared to the passive por tfolio (buy-and-hold)
management strategies, and support the claim that these strategies are highly dynamic and remunerative
for all the stake holders over a longer period (80.33 per cent of the country funds out-performed their
respective bench mark indices over a period of five years). In term of the magnitude of out-performance
over a period of five years, 40.82 per cent of out performers beat the bench marks by more than 50
per cent, where as, 14.29 per cent over performed the bench marks by at least 100 per cent.
T
here have been paramount evidences regarding the
great degree of proliferation in management of
funds around the world. The
international diversifications which
have come a long way to become a
reality to reduce market risks have
resulted in the further attractiveness
to many investors around the globe.
Hence, the study of different
management styles that a fund
manager can follow has emerged
an impor tant area of research in
finance due to its academic and
practical impor tance.
Rational investors wish to maximize
the returns on their funds for a given
level of risk. All investments
A Quarterly Journal
possess varying degrees of risk. It is widely understood that
diversified fund intends to reduce market risks to a greater
extent. Due to this complexity of
reaching at a proper equilibrium
between return and associated risk,
it has been realized that there is a
pressing need for a credible and
robust measure for assessing and
ranking the performance of various
investment funds. Therefore, the
researchers have been prompted
to carry out the present study.
Although the past performance
Dr. Malik N.S., Associate Professor, Har yana School of
alone can not be indicative of future
Business, Guru Jambheshwar University of Science
performance, but, frankly speaking,
a n d Te c h n o l o g y, H i s a r - 1 2 5 0 0 1 , H a r y a n a , I n d i a ,
it is the only quantitative way to
Email: n s m a l i k 2 0 0 2 @ y a h o o . c o m
judge how good a fund is at
present.
Our work is based on the intuition that fund managers’ returns
can be characterized more generally by three key determinants:
the returns from assets in the managers’ portfolios, their trading
strategies, and their use of leverage. Sharpe (1992) proposed
an asset class factor model for performance attribution and style
analysis of mutual fund managers. The elegance of Sharpe’s
(1992) intuition was demonstrated empirically by showing that
only a limited number of major asset classes were required to
successfully replicate the performance of an extensive universe
of U.S. mutual funds.
In Sharpe’s model; the focus was on the first key determinant,
the “location” component of return, which tells us the asset
categories the manager invests in. Our efforts are to extend
Sharpe’s approach by incorporating factors that reflect “how a
manager trades” — the strategy component of return and the
use of “leverage” — the quantity component of return. Adding
new factors to Sharpe’s model allows us to accommodate
managers that employ dynamic, leveraged trading strategies. It
is these additional factors that provide insight on the strategic
difference between “relative return” versus “absolute return”
investment styles. Just as Sharpe’s model provides insight to
the asset mix decision when only relative return styles are
considered, the extended model provides a framework for
analyzing the asset mix decision with an absolute return target.
These targets may also be used to be bench-marked against the
representative Indices of the different countries as in case of
American Dow Jones Industrial Average and S&P 500 Index, the
British FTSE 100, the French CAC 40, the German DAX and the
Japanese Nikkei 225.
The investment management world of today can be divided
into two broad categories of management style, each
reflecting a fundamentally different belief system regarding
how modern capital markets behave. These two schools of
thought are generally referred to as active and passive
management. This ar ticle will address these two approaches
as they apply to stock market investments, but the
observations apply with equal validity to the world of fixed
income investments (bonds) as well.
Active and Passive Management
Active management is the traditional way of building a stock
portfolio, and includes a wide variety of strategies for identifying
companies believed to offer above-average prospects. One
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20
method might focus on companies with impressive past growth
in sales and profits, another on companies with promising
new products, a third on “turnaround” potential of distressed
firms, and so on. Another active management method known
as technical analysis attempts to find “patterns” in price
movements to predict the future prices. Regardless of their
individual approach, all active managers share a common thread:
they buy and sell securities selectively, based on some forecast
of future events.
Passive or index managers - the terms are often used
interchangeably - make no forecasts of the stock market or the
economy, and no effor t to distinguish “attractive” from
“unattractive” securities. Passive managers often construct their
portfolios to closely approximate the performance of wellrecognized market benchmarks such as the Standard and Poor’s
500 index (large U.S. companies), Russell 2000 index (small U.S.
companies) or Morgan Stanley EAFE index (large international
companies).
Passive Management in Perspective:
The passive approach is a relative newcomer to the practice of
investment management. Academic theories supporting the
concept were developed in the 1950s and ‘60s. The America’s
first stock index fund was developed in 1973 by Rex Sinquefield,
a trust officer at American National Bank in Chicago. Sinquefield
(recently retired) was the co-chairman of Dimensional Fund
Advisors Inc., one of the worlds’ leading innovators in passively
managed investing. Active management, on the other hand, is
as old as money management itself. Indeed, forecasting the
future - Which stocks will do best? Which way is the market
headed? - has long been considered the very definition of
investment advice.
One of these assumptions was the superiority of active
management. At traditional investment firms, an army of
economists, research analysts, portfolio managers and traders
scrutinize an enormous daily flow of information on companies,
industry groups, business conditions, and political
developments. They produce stacks of detailed repor ts
recommending stocks to buy or sell, and industry sectors to
overweight or underweight. Does all this effort pay off? Are the
nation’s mutual funds, bank trust depar tments, corporate
pension plans, college endowments, public retirement funds
and insurance companies able to earn higher returns for their
21
shareholders and beneficiaries following these
recommendations versus a “naive” strategy of simply holding a
market portfolio of stocks?
There has been an accelerating trend in recent decades to
create passively managed mutual funds that are based on
market indices, known as index funds. Advocates claim that
index funds routinely beat a large majority of actively managed
mutual funds; one study claimed that over time, the average
actively managed fund has returned 1.8 per cent less than the
S&P 500 index (Source: www.wikipedia.org).
The Evidences: Mutual Fund Performance
Mutual fund returns are an excellent source of data on money
manager performance since their results are audited by
professional accountants and publicly available for all to see.
Beginning with a landmark study by Michael Jensen in 1968,
academic researchers have scrutinized the results of mutual
funds covering a period of nearly fifty years. Not one major
published study successfully claims that managers beat
markets by more than one would expect by chance.
According to Morningstar, for the 15 years ending April 2006,
only 40 per cent (918 of 2,309) of diversified actively managed
U.S. equity mutual funds managed to outperform the S&P
500 index.
In India, over the last five years ending May 2006, all the 74
actively managed equity diversified growth funds not only outperformed the benchmark, but 20.27 per cent (15 of 74) beat
the bench mark indices by at least 100 per cent. (A study
conducted by the author in October 2006).
Portfolio Management
A portfolio manager (or fund manager) is an individual or
company which runs an investment portfolio (or investment
fund) on behalf of a client or the trustees of a client. The functions
of a portfolio manager are as follows:
⇒ Por tfolio str ucturing and analysis - to str ucture an
optimal portfolio, and then analyzing the portfolio’s
expected return and risk;
⇒ Por tfolio adjustment - selecting the set of asset
purchases and sales as circumstances change;
⇒ Portfolio performance measurement and attribution
A Quarterly Journal
measuring actual perfor mance of the por tfolio,
identifying the sources of performance and
comparing the performance against that of a
predetermined benchmark por tfolio.
Thus in brief, a portfolio construction process broadly involves
setting of objectives of the fund; defining of suitable investment
policy; applying of (either active or passive or mix of the two)
portfolio strategies; selecting the assets in which to invest;
and finally to assess the success of the fund manager, the
performance of the fund is periodically measured against a
pre-agreed benchmark- preferably a suitable stock exchange
index. It is this back ground that has prompted the researcher
to evaluate the performance of various country funds against
the benchmark indices of their respective countries where
these funds have been targeted to invest in emerging as well
as the developed markets across of the world.
Objectives of the Study
The Study is aimed to:
⇒
⇒
⇒
examine if it pays to follow active or passive portfolio
management strategy;
examine the performance of country funds vis-à-vis
the bench marks indices of their respective countries;
examine the comparative performance of the country
funds from emerging markets vis-à-vis developed
markets of the world.
In the present study the performance of various country funds
have been evaluated in terms of US Dollar (USD) to make them
comparable across the globe. The performance of these country
funds has also been compared with the bench mark indices of
their respective country to which they are designated for. The
depreciation in the currency against USD has been marked by
+ve (positive sign in front), where as conversely the
appreciation of any currency against the USD has been marked
by –ve (negative sign in front).
Research Methodology
To evaluate the performance of various country funds designated
to various emerging and developed markets, we have used the
various descriptive statistical tools including rate of return, average,
range, and standard deviation. It is difficult to make an exact list of
emerging (or developed) markets; the best guides tend to be
investment information sources (like The Economist) or market index
makers (such as Morgan Stanley Capital International). These sources
are neutral and well-informed, hence has been used as the main
source to categories emerging and developed markets.
Sample Size
In this study country funds belonging to seven emerging markets
of China, India, Russia, South Korea, Indonesia, Malaysia and
Mexico and nine developed markets of Singapore, Australia,
Japan, U.K., Switzerland, Germany, Spain, Canada and USA
have been included. The sample includes all the country funds
(except two country funds of Thailand, whose bench mark
index was not available for comparison) which have at least
22
one full year of its operation as on 31 December 2006. The
information has been sourced from Bloomberg.com.
Total of 71 countr y funds have been sampled of which 53
belong to Asia/ Pacific countries, four belong to European
countries and the remaining 14 are from American countries.
The sampled country funds represents 16 countries whose
market capitalization is more than three four ths of the total
World’s Market Capitalization of 50098.59 Billion USD (refer
Table No.2). Of the total sample, 18 funds belong to
emerging markets and the rest 53 represent developed
markets (refer Table No.1).
Table: 1 Sample Description of Country Funds
Region
Asia/Pacific
Emerging Markets
Developed Markets
Number of Country Funds
16
37
53
Europe
-
04
04
American
2
12
14
18
53
71
Total
(Source: Bloomberg.com)
Measures of Country Fund Performance:
A)
v)
Under Performers (UP): less than 25 per cent under return
than the bench mark return;
Performance measures based on absolute rate of return:
The compounded annual growth rate (CAGR) for one, three
and five years calculated. The performance of funds has
been assessed against the bench mark indices. The
performance so assessed has been grouped into eight,
namely:
i)
vii) Distant Under Performers (DUP): 50 per cent or more but
less than 100 per cent under return than the bench mark
return;
Top Most Out Performers (TMOP): 100 per cent or
more return over and above the bench mark return;
ii)
vi) Poorly Under Performers (PUP): 25 per cent or more but
less than 50 per cent under return than the bench mark
return;
viii) Very Poorly Under Performers (VPUP): 100 per cent or
more under return than the bench mark return.
Distantly Out Performers (DOP): (50 per cent or more
but less than 100 per cent return over and above the
bench mark return);
iii) Good Out Performers (GOP): 25 per cent or more
but less than 50 per cent return over and above the
Standard deviation of the bench mark indices have been
calculated on the basis of monthly rate of return of the
respective indices for one, three and five years. This has been
used to look into the relative consistency/volatility of the returns.
Results
bench mark return;
iv) Out Performers (OP): less than 25 per cent return
over and above the bench mark return;
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The results of the study have been presented below and grouped
in five segments namely, Asia/Pacific Countries; European Countries;
American Countries; Emerging Markets and Developed Markets.
23
Table 2: Market Capitalization of Sampled Countries
(In % of World Market Capitalization of 50098.59 Billion USD)
Emerging Markets
Asia/Pacific
Europe
America
Grand Total
Developed Market
Total
India
China
South Korea
Indonesia
Malaysia
Russia
Singapore
Australia
Japan
1.63
1.90
1.63
N/A
N/A
N/A
-
N/A
1.87
9.76
1.63
1.90
1.63
N/A
N/A
N/A
N/A
1.87
9.76
Sub Total
5.16
11.63
16.79
U.K.
Switzerland
Germany
Spain
-
7.61
2.40
3.51
N/A
7.61
2.40
3.51
N/A
Sub Total
Nil
13.52
13.52
Canada
Mexico
USA
0.74
-
3.01
34.87
3.01
0.74
34.87
Sub Total
0.74
5.90
37.88
63.03
38.62
68.93
(Source: The Business Standard, India, dated: 3 rd January 2007)
Asia/Pacific Countries
India: The performance of both the country funds has been
very impressive over a long period of five years as both the
funds have beaten the index by 47.39 per cent and 34.53.
In case of one year one out of the two funds has beaten the
index, where as over a period of three years both the funds
have underperformed to index by a very narrow margin of
6.66 per cent and 2.43 per cent (Refer Table No. 3).
China: All the four funds outperformed the index by a huge
margin ranging 274.67 per cent to 129.35 per cent over a
period of five years. In case of one year only one fund out
of the total six funds have been able to beat the bench mark
by 33.81 per cent, where as the under performance has
been far severe in the range of 69.89 per cent to 45.78
per cent. Over a period of three years only one out of five
funds under performed the index by 69.33 per cent (Refer
Table No.4).
A Quarterly Journal
South Korea: All the three funds belonging to South Korea
have been able to outperform the KOSPI Composite index by a
very remarkable margin ranging from 164.77 per cent to 37.49
per cent. The interesting fact with South Korea in contrary to
India and China is that it has relatively performed better over the
short period of one year (Refer Table No.5).
Indonesia: There is only one fund belonging to Indonesia,
which has beaten the JKSE index over one year as well as five
years by 72.42 per cent and 53.61, where as the fund has
been beaten by the index over three years by 17.76 per cent
(Refer Table No.6).
Malaysia: The performance of Malaysia designated country fund
has been on the same line as that of the Indonesia designated
fund except the magnitude. The out-performance of the fund
has been 74.30 per cent over one year and 72.07 per cent over
five years, where the under performance has been to the tune
of 28.86 per cent over three years (Refer Table No.7).
24
Table: 3 India (No. of Country Funds: 2)
1-Year
Symbol
Return
5-Year
3-Year
Currency
Effect
Total
Return
Return Currency Total Return Currency Total
Effect Return
Effect
Return
Country
IIF
50.38
-2.38
52.76
30.88
-1.09
31.97
50.10
-1.81
51.91
Funds
IFN
27.61
-2.38
29.99
32.33
-1.09
33.42
45.57
-1.81
47.38
BSE Sensex
46.07
-2.38
49.08
33.16
-1.09
34.25
33.41
-1.81
35.22
Index
(Computed and compiled by the author)
Table: 4 China (No. of Country Funds: 6)
1-Year
Symbol
Return
GCH
163.17
C o u n t r y CHN
63.61
Funds
MCHFX
64.3
TDF
49.97
TCWAX
40.19
HPCCX
34.26
Index
SSE Composite 121.14
Currency
Effect
-3.17
-3.17
-3.17
-3.17
-3.17
-3.17
-3.17
2-Year
3-Year
Total
Return
166.34
66.78
67.47
53.14
43.36
37.43
124.31
5-Year
Return Currency Total Return Currency Total
Effect
Return
Effect
Return
32.00
4.71
22.65
20.97
24.41
19.70
-1.92
-1.92
-1.92
-1.92
-1.92
-1.92
33.92
6.63
24.57
22.89
26.33
21.62
38.03
32.53
22.83
34.34
9.30
-1.16
-1.16
-1.16
-1.16
-1.16
39.19
33.69
23.99
35.50
10.46
Table: 5 South Korea (No. of Country Funds: 3)
3-Year
1-Year
Symbol
Country KEF
Funds KF
MAKOX
Index
KOSPI Comp
Return
23.68
17.34
12.28
3.99
Currency
Effect
-7.96
-7.96
-7.96
-7.96
Total Return
Return
31.64
25.30
20.24
11.95
33.63
35.34
31.69
20.95
5-Year
Currency Total Return Currency Total
Effect
Return Effect
Return
-7.7
-7.7
-7.7
-7.7
41.33
43.04
39.39
28.65
28.66
29.74
26.25
15.64
-6.63
-6.63
-6.63
-6.63
35.29
36.37
32.88
22.27
Table: 6 Indonesia (No. of Country Funds: 1)
1-Year
Symbol
Country
Funds
Index
IF
JKSE Comp
Return
Currency
Effect
Total
Return
Return
3-Year
5-Year
Currency Total Return
Effect Return
Currency Total
Effect Return
101.58
-8.63
110.21
31.07
2.04
29.03
56.51
-3.06
59.57
55.29
-8.63
63.92
37.34
2.04
35.30
35.72
-3.06
38.78
(Bloomberg; Computed and compiled by the author)
A Quarterly Journal
25
Japan: The Table No. 11 exhibits that only two of the thir ty
Russia: Of the three funds designated to Russia only one fund
(TRF) has been able to out-perform the Russia benchmark RTS1 over all the years under study by 21.23 per cent over one year;
25.97 per cent in case of three years and by 8.1 per cent over
five years respectively. The magnitude of under performance by
one of the funds named LETRX has been moderate across all the
periods where as the magnitude of the third fund called “TMRFX”
has been quite brutal and ranges 41.84 per cent; 26.19 per cent
and 16.62 per cent over one, three and five years respectively
(Refer Table No. 8).
five funds have outperformed the Nikkei-225, the bench
mark for Japanese country funds over a period of one year
ending December 2006 by 79.39 per cent and 60.82
per cent where as the extent of under performance by the
remaining 94.29 per cent Japan designated funds has been
to the extent of 91.31 per cent to 489.61 per cent.
In case of three years the position has not improved much
where only four out of 35 funds have been able to
outperform the bench mark where as over a longer period
of five years the position happens to be quite conformable
where 81.82 per cent of the funds have out-performed
t h e b e n c h m a r k ( h i g h e s t o u t -p e r f o r m a n c e b e i n g
90.27 per cent by country fund called “JOF ” and highest
under performance being 57.65 per cent by country fund
named “CNJFX”). The magnitude of out-performance in
case of three years happen to be 128.00 per cent (UJPIX)
and the under performance being 92.91 per cent (CNJFX).
In case of country fund called “CNJFX,” it has proved to be
grossly underperformer (ranked last in case of three years
as well as five years) over all three varying time periods
used in the present study.
Singapore: Like South Korea, the Singapore designated country
fund has been able to beat the bench mark (Straits Times) over
all the varying periods considered for the purpose of this study.
The range of out-performance has been 117.59 per cent,
54.85 and 85.40 per cent over one year, three years and five
years respectively (Refer Table No.9).
Australia: The only Australia designated country fund has only
been able to out perform the corresponding All Ordinaries index
in case of five years by 11.39 per cent, where as its performance
over a period of one and three years has been very-very pitiable
where by it under performed the benchmark by 65.09 per cent
and 95.14 per cent respectively (Refer Table No. 10).
Table: 7 Malaysia (No. of Country Funds: 1)
3-Year
1-Year
Symbol
Country
Funds
Index
Return
Currency
Effect
Total Return
Return
5-Year
Effect Return
Currency Total
Effect Return
MF
37.73
0.43
37.30
8.1
0.09
8.01
15.29
1.49
13.80
KLSE Comp
21.83
0.43
21.40
11.35
0.09
11.26
9.51
1.49
8.02
Table 8: Russia (No. of Country Funds: 3)
1-Year
Symbol
Country TRF
Funds LETRX
TMRFX
Index
RTS-1
Return
Currency
Effect
87.55
67.55
37.64
70.75
-8.39
-8.39
-8.39
-8.39
5-Year
3-Year
Total Return
Return
95.94
76.04
46.03
79.14
64.12
45.11
36.14
50.19
Currency Total Return Currency Total
Effect
Return
Effect Return
-3.45
-3.45
-3.45
-3.45
67.57
48.56
39.59
53.64
53.41
46.29
40.53
49.19
-2.91
-2.91
-2.91
-2.91
56.32
49.20
43.44
52.10
A Quarterly Journal
26
Table: 9 Singapore (No. of Country Funds: 1)
3-Year
1-Year
Symbol
Country
Funds
Index
Return
Currency
Effect
Total Return
Return
5-Year
Effect Return
Currency Total
Effect Return
SGF
68.45
-7.88
76.33
31.55
-3.43
34.98
27.17
-3.68
30.85
Straits Times
27.2
-7.88
35.08
19.16
-3.43
22.59
12.96
-3.68
16.64
Table: 10 Australia (No. of Country Funds: 1)
3-Year
1-Year
Symbol
Country IAF
Funds
Index
All Ordinaries
Return
Currency
Effect
Total Return
Return
5-Year
Effect Return
Currency Total
Effect Return
2.1
-7.43
9.53
-0.66
-1.69
1.03
13.12
-8.3
21.42
19.87
-7.43
27.30
19.52
-1.69
21.21
10.93
-8.3
19.23
European Countries
United Kingdom (U.K.), Switzerland, Germany
and Spain:
On the thorough examination of table nos. 12, 13, 14 and
15, it has been found that all the four country funds (one
for each) representing U.K, Switzerland, Germany and
Spain have out-performed their respective bench marks
(FTSE-100, SMI, DAX and IBEX-30) over all the varying
period considered in the present study. In terms of the
magnitude of out-performance, the U.K. designated fund
has proved to b e t o p m o s t o u t p e r f o r m e r ( 1 4 7 . 1 6
p e r cent, 111.72 per cent and 445.70 per cent) over a
period of one, three and five years. In case of country
funds representing European countries, it has emerged that
there is positive correlation between increased return and
time made available to active por tfolio manager. Although
the fund belonging to Spain too, has been able to out
perform over the entire period under study but it
happened to be the least performer amongst all the four
country funds representing European countries.
Switzerland and Germany designated funds too remained
top most out performer by 118.56 per cent and 133.02
per cent respectively but only over a period of five years.
A Quarterly Journal
American Countries
Canada: The results of country designated funds in respect
of Canada, Mexico and USA, are presented through table nos.
16, 17 and 18 respectively. On the examination of these results
it has been found that in the case of Canada designated fund
(one in number) has out-performed the bench mark over all
the varying period of the present study. The magnitude of outperformance has intensified with the increased period of time
funds have been managed actively.
Mexico: In case of both the Mexico designated country funds, it
is found that they have out-performed the bench mark
(representing passively managed fund) over one and three years
but in case of five years both the actively managed country funds
slightly under performed the bench mark. The magnitude of
performance happens to be in reverse to the one observed in
case of its counter part (Canada) in the same region.
USA: In the case of USA that individually holds 34.87 per cent
share of the total World Market Capitalization of USD 50098.89
Billion as at the end of 2006 (Refer Table No.2), the results of all
the country funds have been exhibited in Table No.18.
27
12
12
Table: 11 Japan (No. of Country Funds: 35)
3-Year
1-Year
Country
Funds
Index
Symbol
Return
UJPIX
UJPSX
FJEAX
FJECX
FJEBX
GSJIX
JPNDX
JPNAX
GSJAX
GSJSX
JPNCX
JPNBX
GSJBX
GSJCX
SJPNX
CNJFX
CVJAX
CVJBX
JOF
FJPNX
WPJAX
CUJAX
WPJGX
JEQ
MJFOX
FAJIX
FJPAX
FAJTX
FAJCX
FAJBX
DFJSX
SPARX
SPXJX
JSCFX
FJSCX
Nikkei-225
11.58
10.49
1.56
0.82
0.82
1.33
0.41
0.21
0.64
0.69
-0.45
-0.55
-0.55
-0.47
-4.43
-4.66
-4.34
-4.93
-5.82
-5.64
-5.98
-6.16
-6.14
-6.24
-6.84
-9.46
-9.76
-10.00
-10.46
-10.47
-12.68
-13.31
-13.54
-15.60
-21.82
6.92
Currency
Effect
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
1.05
Total Return
Return
10.53
9.44
0.51
-0.23
-0.23
0.28
-0.64
-0.84
-0.41
-0.36
-1.50
-1.60
-1.60
-1.52
-5.48
-5.71
-5.39
-5.98
-6.87
-6.69
-7.03
-7.21
-7.19
-7.29
-7.89
-10.51
-10.81
-11.05
-11.51
-11.52
-13.73
-14.36
-14.59
-16.65
-22.87
5.87
34.80
33.47
15.27
14.44
14.41
13.92
13.50
13.23
13.32
13.43
12.45
12.39
12.37
12.37
10.83
4.58
15.73
15.00
11.51
14.97
9.11
8.95
8.83
10.20
9.83
12.50
12.11
11.82
11.29
11.25
16.84
19.74
19.55
10.34
10.97
17.29
5-Year
Effect Return
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
3.61
31.19
29.86
11.66
10.83
10.80
10.31
9.89
9.62
9.71
9.82
8.84
8.78
8.76
8.76
7.22
0.97
12.12
11.39
7.90
11.36
5.50
5.34
5.22
6.59
6.22
8.89
8.50
8.21
7.68
7.64
13.23
16.13
15.94
6.73
7.36
13.68
15.80
14.68
13.70
12.91
12.91
10.18
11.26
11.14
9.58
9.77
10.19
10.20
8.75
8.78
14.24
3.27
14.21
13.42
21.36
13.70
5.20
5.11
5.21
14.15
12.63
12.01
11.66
11.32
10.80
10.78
19.97
NA
NA
13.62
16.98
10.32
Currency Total
Effect Return
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
-1.91
17.71
16.59
15.61
14.82
14.82
12.09
13.17
13.05
11.49
11.68
12.10
12.11
10.66
10.69
16.15
5.18
16.12
15.33
23.27
15.61
7.11
7.02
7.12
16.06
14.54
13.92
13.57
13.23
12.71
12.69
21.88
NA
NA
15.53
18.89
12.23
A Quarterly Journal
28
Table: 12 U.K. (No. of Country Funds: 1)
3-Year
1-Year
Symbol
Country DFUKX
Fund
Index
All Ordinaries
Total Return
Return
5-Year
Return
Currency
Effect
Effect Return
44.35
-12.15
56.50
28.08
-3.17
31.25
10.71
-12.15
22.86
11.59
-3.17
14.76
23.7
3.58
Currency Total
Effect Return
7.55
20.12
11.18
-5.82
Table: 13 Switzerland (No. of Country Funds: 1)
3-Year
1-Year
Country
Fund
Index
Currency
Effect
Total Return
Return
5-Year
Symbol
Return
Effect Return
Currency Total
Effect Return
SWZ
37.80
-7.31
45.11
25.53
-0.61
26.14
20.99
-5.79
26.78
SMI
15.85
-7.31
23.16
16.98
-0.61
17.59
6.48
-5.79
12.27
Table: 14 Germany (No. of Country Funds: 1)
3-Year
1-Year
Symbol
Country
Fund
Index
Total Return
Return
5-Year
Return
Currency
Effect
Effect Return
Currency Total
Effect Return
GF
42.53
-10.23
52.76
30.57
-1.65
32.22
22.12
-7.66
29.78
DAX
21.98
-10.23
32.21
18.49
-1.65
20.14
5.04
-7.66
12.70
Table: 15 Spain (No. of Country Funds: 1)
3-Year
1-Year
Symbol
Country
Fund
Index
Total Return
Return
5-Year
Return
Currency
Effect
Effect Return
Currency Total
Effect Return
SNF
35.00
-10.23
45.23
24.45
-1.65
26.1
23.07
-7.66
30.73
IBEX-30
31.79
-10.23
42.02
22.28
-1.65
23.93
10.99
-7.66
18.65
A Quarterly Journal
29
Table: 16 Canada (No. of Country Funds: 1)
3-Year
1-Year
Country
Fund
Index
Currency
Effect
Total Return
Return
5-Year
Symbol
Return
Effect Return
Currency Total
Effect Return
FICDX
14.96
0.03
14.93
22.37
-3.42
25.79
21.48
-6.02
27.5
S&P TSX
14.52
0.03
14.49
16.23
-3.42
19.65
10.92
-6.02
16.94
Table: 17 Mexico (No. of Country Funds: 2)
3-Year
1-Year
Symbol
Country
Fund
Index
MXE
MXF
IPC
Return
74.72
54.07
48.56
Currency
Effect
0.41
0.41
0.41
Total Return
Return
74.31
53.66
48.15
54.76
47.49
44.34
5-Year
Effect Return
-1.25
-1.25
-1.25
56.01
48.74
45.59
31.94
29.68
32.93
Currency Total
Effect Return
3.33
3.33
3.33
28.61
26.35
29.60
Table: 18 USA (No. of Country Funds: 11)
3-Year
1-Year
Symbol
Return
Country
SAGSX
15.94
-
15.94
13.08
-
13.08
7.96
-
7.96
Funds
GQETX
12.01
-
12.01
NA
-
NA
NA
-
NA
GQEFX
11.96
-
11.96
NA
-
NA
NA
-
NA
BUFGX
11.62
-
11.62
8.07
-
8.07
4.77
-
4.77
CMNWX
11.11
-
11.11
10.9
-
10.9
8.09
-
8.09
CMNCX
10.2
-
10.2
9.95
-
9.95
NA
-
NA
CMNBX
10.09
-
10.09
9.87
-
9.87
7.07
-
7.07
USLIX
1.07
-
1.07
4.61
-
4.61
NA
-
NA
USGLX
0.59
-
0.59
4.15
-
4.15
2.52
-
2.52
USLCX
-0.14
-
-0.14
3.37
-
3.37
NA
-
NA
USLBX
-0.14
-
-0.14
3.37
-
3.37
NA
-
NA
S&P 500
13.62
-
13.62
8.45
-
8.45
4.32
-
4.32
Index
Currency
Effect
Total Return
Return
5-Year
Effect Return
Currency Total
Effect Return
A Quarterly Journal
The table corroborates that over a period of one year only one
country fund out of the total 11 could out-perform the S&P
500, the representative bench mark for passively managed
funds, where as the remaining ten funds representing 90.91
per cent under performed. The magnitude of the performance
happens to be in favour of the under-performers, as the worst
under performance was to the extent of 101.03 per cent by
two country funds (USLCX & USLBX).
Over a period of three years, once again larger number (55.56
per cent) of country funds proved to be under-performers.
Whereever, the actively managed funds managers are given
longer period of time to perform, there appears that they
have been able to prove their presence by resor ting to
provide very decent end results in terms of higher rate
of returns. The analysis of table no. 18 indicates that
over a period of five years, the out performing funds
(80.00 per cent) dominates over the number of under
performing USA designated country funds.
In terms of the magnitude of performance, 60 per cent of the
out performing country funds beat the bench mark by a
greater distance of at least 50 per cent.
In case of USA des i g n a t e d c o u n t r y f u n d s i t m a y b e
inferred that the actively managed fund managers
intends to out perform their respective bench mark over
a longer period of time. These inferences are in
conformity with the results of the actively managed
funds across t he globe.
Emerging Markets
Table Nos. 19, 20 and 21, exhibit the summarized results on
the performance of country funds vis-à-vis their respective
bench mark indices across various emerging markets of the
world for one, three and five years respectively.
All the country funds designated to different emerging
markets like India, China, South Korea, Indonesia, Malaysia,
and Russia from Asia/Pacific Region & Mexico from American
Region have been able to out -perform the bench mark
indices on account of annualized absolute rate of return
in US Dollar terms over a period of five years.
A Quarterly Journal
30
However, in case of three years all the country funds of South
Korea and Mexico out-performed, where this proportion of out
performing funds to the total number of funds is 80 per cent
for China and 33.33 per cent for Russia. No country fund from
India, Indonesia and Malaysia could out-perform the bench
mark indices.
In the case of one year time horizon, all the country funds
belonging to South Korea, Indonesia, Malaysia and Mexico
out-performed the bench mark, where as the proportion of
out performing country funds designated to China, Russia and
India happen to be 16.67 per cent, 33.33 per cent and
50.00 per cent respectively. In aggregate it has been found
that all the country funds belonging to South Korea and Mexico
have out-performed the bench mark indices over all the varying
periods of time taken for this study.
Developed Markets
Table nos. 22, 23 and 24, exhibit the summarized results on the
performance of country funds vis-à-vis their respective bench mark
indices in the developed markets of the world for one, three and
five years respectively.
On the thorough examination of the summarized results it is found
that all the country funds designated for Singapore, U.K., Switzerland,
Germany, Spain, and Canada have out-performed their respective
bench marks across the board over all the different periods of time
used in the present study. In case of country funds belonging to
other developed markets the proportion of out-performing funds
has been 5.71 per cent, 11.43 per cent and 66.67 per cent in
case of Japan over one, three and five years respectively, this
proportion is 9.09 per cent, 44.44 per cent and 80.0 per cent
for USA over the same period. It is of paramount significance
to note that the country funds designated to USA, Japan and
U.K. that together account for more than half of the World
Market Capitalization (52.24 per cent, refer Table No. 2).
In case of the performance of only one country fund designated
to Australia, there are divergent results, as it has only been
able to out perform over five years by a very thin margin of
11.39 per cent, where as it has proved to be under performer
over one year as well as three years by substantial margin of
65.09 per cent and 95.14 per cent over one and three years
denoted as “Distant Under Performer ” in the present study
(Refer Table No.10).
31
Table 19: Summarized Results of Country Funds in Emerging
Markets for one year ending December 2006
Asia / Pacific
America
IGrand
India China South Indonesia Malaysia Russia Total Mexico Total
Total
Category of Range of
Performance
Return (%)
TMOP
100 or >
-
-
Korea
2
-
-
-
2
-
-
2
DOP
50 <100
-
-
1
1
1
-
3
1
1
4
GOP
25<50
-
1
-
-
-
-
1
-
-
1
OP
<25
1
-
-
-
-
1
2
1
1
3
UP
<25
-
-
-
-
-
1
1
-
-
1
PUP
25 <50
1
2
-
-
-
1
4
-
-
4
DUP
50<100
-
3
-
-
-
-
3
-
-
3
VPUP
100 or >
-
-
-
-
-
-
-
-
-
-
Total
2
6
3
1
1
3
16
2
2
18
% of Out performers
50.00
16.67
100.00
100.00
100.00
33.33
50.00 100.00
% of Under Performers
50.00
63.33
Nil
Nil
Nil
66.67
50.00
5.58
6.93
3.36
5.39
2.86
8.23
St. Dev. of Index
Nil
100.00
55.56
Nil
44.44
3.08
Markets for three years ending December 2006
Asia / Pacific
America
IGrand
Total
Performance
Return (%)
TMOP
100 or >
DOP
50 <100
-
-
1
-
-
-
1
-
-
1
GOP
25<50
-
1
2
-
-
1
4
-
-
4
OP
<25
-
3
-
-
-
-
3
2
2
5
UP
<25
2
-
-
1
-
1
4
-
-
4
PUP
25 <50
-
-
-
-
1
1
2
-
-
2
DUP
50<100
-
1
-
-
-
-
1
-
-
1
VPUP
-
-
-
-
-
-
-
-
-
100 or >
-
-
-
-
-
-
-
-
-
-
Total
2
5
3
1
1
3
15
2
2
17
% of Out performers
St. Dev. of Index
Korea
-
Nil
33.33
53.33 100.00
100.00
Nil
80.00 100.00
20.00
Nil
100.00
Nil
100.00
66.67
46.67
6.18
7.23
5.26
5.30
3.20
8.20
Nil
100.00
58.82
Nil
41.18
4.70
A Quarterly Journal
32
Markets for five years ending December 2006
America
Asia / Pacific
IGrand
Total
Performance
Return (%)
TMOP
100 or >
DOP
50 <100
-
-
2
1
1
-
4
-
-
4
GOP
25<50
2
-
1
-
-
-
3
-
-
3
OP
<25
-
-
-
-
-
1
1
-
-
1
UP
<25
-
-
-
-
-
2
2
2
2
4
PUP
25 <50
-
-
-
-
-
-
-
-
-
-
DUP
50<100
-
-
-
-
-
-
-
-
-
-
VPUP
Korea
-
4
-
-
-
-
4
-
-
4
100 or >
-
-
-
-
-
-
-
-
-
-
Total
2
4
3
1
1
3
14
2
2
16
% of Out performers
100.00 100.00
St. Dev. of Index
100.00
100.00
100.00
Nil
Nil
Nil
Nil
Nil
100.00 100.00
Nil
6.40
7.01
6.32
6.26
3.87
8.34
100.00
Nil
100.00 100.00
Nil
Nil
Nil
4.91
Table 22: Summarized Results of Country Funds in Developed
Markets for one year ending December 2006
Asia / Pacific
Category of
Range of
Singapore Australia
Japan
Europe
Total
America
U.K. Switzerland Germany Spain Total
IGrand
Canada USA Total
Total
Performance Return (%)
TMOP
100 or >
1
-
-
1
1
-
-
-
1
-
-
-
2
DOP
50 <100
-
-
2
2
-
1
1
-
2
-
-
-
4
GOP
25<50
-
-
-
-
-
-
-
-
-
-
-
-
-
OP
<25
-
-
-
-
-
-
-
1
1
1
1
2
3
UP
<25
-
-
-
-
-
-
-
-
2
-
4
4
4
PUP
25 <50
-
-
-
-
-
-
-
-
-
-
2
2
2
DUP
50<100
-
1
1
2
-
-
-
-
-
-
2
2
3
VPUP
100 or >
-
-
32
32
-
-
-
-
-
-
2
2
34
37
1
1
1
4
1
11
12
Total
% of Out performers
St. Dev. of Index
1
100.00
Nil
3.71
1
35
Nil
5.71
8.11 100.00
100.00
94.29 91.89
2.63
3.95
1
100.00
Nil
Nil
2.28
2.58
100.00 100.00 100.00 100.00 9.09 16.67
Nil
2.82
Nil
3.07
Nil
Nil
90.91 83.33
3.08
1.64
53
18.87
81.13
A Quarterly Journal
33
Markets for Three Years ending December 2006
Asia / Pacific
Category of
Range of
Singapore Australia
Europe
Japan
Total
America
IGrand
Canada USA Total
Total
TMOP
100 or >
-
-
2
2
1
-
-
-
1
-
-
-
3
DOP
50 <100
1
-
-
1
-
-
1
-
1
-
1
1
3
GOP
25<50
-
-
-
-
-
1
-
-
1
1
-
1
2
OP
<25
-
-
2
2
-
-
-
1
1
-
3
3
6
UP
<25
-
-
8
8
-
-
-
-
-
-
1
1
9
PUP
25 <50
-
-
16
16
-
-
-
-
-
-
1
1
17
DUP
50<100
-
1
7
8
-
-
-
-
-
-
3
3
11
VPUP
100 or >
-
-
-
-
-
-
-
-
-
-
-
-
-
37
1
1
1
4
1
9
10
51
Total
% of Out performers
St. Dev. of Index
1
1
35
100.00
Nil
11.43 13.51 100.00
Nil
100.00
88.57
2.92
2.34
4.09
86.49
1
100.00
100.00 100.00 100.00 100.00 44.44 50.00 27.45
Nil
Nil
Nil
Nil
2.11
2.64
3.11
2.95
Nil
Nil
55.56 50.00 72.55
2.98
1.98
Markets for five years ending December 2006
Asia / Pacific
Category of
Range of
Singapore Australia
Europe
Japan
Total
America
IGrand
Canada USA Total
Total
TMOP
100 or >
-
-
-
-
1
1
1
-
3
-
-
-
3
DOP
50 <100
1
-
3
4
-
-
-
1
1
1
3
4
9
GOP
25<50
-
-
9
9
-
-
-
-
-
-
-
-
9
OP
<25
-
1
10
11
-
-
-
-
-
-
1
1
12
UP
<25
-
-
7
7
-
-
-
-
-
-
-
-
7
PUP
25 <50
-
-
3
3
-
-
-
-
-
-
1
1
4
DUP
50<100
-
-
1
1
-
-
-
-
-
-
-
-
1
VPUP
100 or >
-
-
-
-
-
-
-
-
-
-
-
-
-
33
35
1
1
1
4
1
5
6
Total
% of Out performers
St. Dev. of Index
1
100.00
1
100.00
Nil
Nil
3.99
2.66
66.67 68.57 100.00
33.33 31.43
4.75
1
100.00
100.00 100.00 100.00 100.00 80.00 83.33
Nil
Nil
Nil
Nil
3.76
4.18
6.88
5.07
Nil
Nil
3.27
20.00 16.67
45
73.33
26.67
3.57
A Quarterly Journal
34
Conclusions
References
It’s wor th to conclude on the basis of thorough investigation
of the performance of 71 country designated funds
belonging to emerging as well as developed markets from
Asia/ Pacific, European and American countries, that the
actively managed funds tend to deliver better returns visà-vis passively managed funds (represented by Bench Mark
Indices) over longer period of time.
Admiti, A. and Ross, S. “Measuring Investment Performance in a
Rational Expectations Equilibrium Model.” Journal of
Business. 58 (1985): 1-26.
In the emerging markets, in aggregate 55.56 per cent, 58.82
per cent and 100.00 per cent country funds outperformed their respective bench mark indices over a
period of one, three and five years respectively, where as
this propor tion happens to be significantly lower in case
of developed markets, i.e. 18.87 per cent, 27.45 per cent
and 73.33 per cent over the same period (Refer table no.
19, 20, 21, 22, 23 & 24).
Carhart, Mark M. “On Persistence in Mutual Fund Performance.”
Journal of Finance. 52 (1997): 57-82.
Davis, James L. “Mutual Fund Performance and Manager Style.”
Financial Analysts Journal. 57 (2001): 19-27.
David, A. Hsieh. “Empirical Characteristics of Dynamic Trading
Strategies: The Case of Hedge Funds.” The Review of
Financial Studies Summer. Vol.10, No.2, (1997): 275–
302.
Elton, E., Gruber, M. and Blake, C. “The Persistence of RiskAdjusted Mutual Fund Performance.” Journal of
Business. 69 (1996): 133-157.
Top five ranking country funds on the basis C AGR (in US
Dollars) over a period of one year are GCH (China with
166.34 per cent), IF (Indonesia with 110.21 per cent), TRF
(Russia with 95.94 per cent), SGF (Singapore with 76.33
per cent) and MXE (Mexico with 74.31 per cent)
respectively.
Elton, E.J. and Gruber, M.J. Modern Por tfolio Theory and
Investment Analysis. John Wiley, New York: 1995.
Over a period of three years TRF (Russia with 67.57 per cent), MXE
(Mexico with 56.01 per cent), IIF (India with 50.10 per cent),
MXF (Mexico with 48.74 per cent) and LETRX (Russia with
48.56 per cent) ranked at first five positions respectively.
Gupta, Manak C. “The Mutual Fund Industry and its comparative
Performance.” Journal of Financial and Quantitative
Analysis. 6 (1974): 894.
In case of a longer period of five years the first five ranks on
the basis of CAGR have been retained by country funds namely,
IF (Indonesia with 59.57 per cent), TRF (Russia with 56.32
per cent), IIF (India with 51.91 per cent), LETRX (Russia with
49.20 per cent) and IFN (India with 47.38 per cent) respectively.
Only one country fund (SGF, Singapore designated country
fund) from the developed markets has been able to find a
place (4 th over a period of one year) amongst the first five top
ranks in terms of remunerating its unit holders in the form of
absolute rate of return.
Fama, E. “Components of Investment Performance.” Journal of
Finance. 27 (1972): 551-567.
Francis, J.C. Investments, McGraw-Hill, Singapore: 1995.
Gupta, O.P. and Sehgal, Sanjay. Investment Performance of Mutual
Funds: The Indian Experience. Presented at UTI-ICM
Second Capital Markets Conference, Vasi, Navi
Mumbai: December 1998. 23-24.
Jenson, Michael C. “The Performance of Mutual Funds in the
period 1945-1964.” Journal of Finance. 23 (1968):
389-415.
Lehman, B. and Modest, D. “Mutual Fund Performance Evaluation:
A Comparison of Bench Marks and Benchmark
Comparisons.” Journal of Finance. 42 (1987): 233-256.
Key Words: Countr y Designated Funds; C AGR
Malkiel, Burton G. “Returns from investing in Equity Mutual Funds,
1971-1991.” Journal of Finance. 2 (1995): 550-572.
(Compounded Annual Growth Rate); Bench Mark Indices; St.
Dev. (Standard Deviation); Active Portfolio & Passive Portfolio.
Matallin, J.C. and Nieto, L. “Mutual Funds as an Alternative to
A Quarterly Journal
35
Direct Stock Investment: A Co-Integration Approach.”
Applied Financial Economics. 12 (2002): 743-750.
Treynor, Jack L. “How to Rate Management of Investment
Funds.” Harvard Business Review. 43 (1965): 63-75.
McDonald, John G. “Objectives and Performance of Mutual
Funds, 1960-69.” Journal of Financial and Quantitative
Analysis. 9 (1974): 311-333.
Treynor, Jack L. and Mazuy, Kay K. “Can Mutual Funds Outguess
t h e M a r ke t s ” H a r v a r d B u s i n e s s Re v i e w. 4 4
(1966):131-136.
Obaidullah, M. and Ganeshan, Sridhar. “Do Mutual Funds in
India Provide Abnormal Returns.” Chartered Financial
Analysts. 5 (1991): 11-15.
Quigley, Garrett, and Rex A. Sinquefield. “Performance of UK
Equity Unit Trusts.” Journal of Asset Management. 1
(2000): 72-92.
Sarkar, A .K. “Per for mance Evaluation of Mutual Funds.”
Management Accountant. 12 (1991): 924-928.
Websites:
<www. Bloomberg.com>.
<www. Finance.Yahoo.com>.
Sharpe, W.F. “Mutual Fund Performance.” Journal of Business.
39 (1966): 119-138.
<www. Investopedia.com>.
Sharpe, W.F., Alexander, G. and baily, J. Investments. PrenticeHall, Englewood Cliff, NJ: 1995.
<www. oanda.com>.
A Quarterly Journal
<www. en.wikipedia.com>.
<www. Centre4investmentstrategies.com>.
36
New “Test”ing Horizons:
Web-Enabled On-Line
Future of education will be internet based to a great extent. The best information can be shared
with the masses in a very effective manner. The Internet breaks boundaries and distances. It can
also preserve information unlike conventional classroom where lecture is delivered not preserved.
The preserved information can be accessed and retrieved. With high compression technology,
through e-learning it is possible to deliver such hi-tech classes at affordable fee. Internet and
multimedia technologies are the basic enablers of e-learning, with content, technologies and
services being identified as the three key sectors of the e-learning industr y. CAT and IIT-JEE are
the exams taken by people all over India. At present the preparation for these exams is mainly
through classroom or postal coaching. With the upswing of the internet, it is possible to provide
online coaching, which provides wider access to the candidates. Considering the need of the
hour, coaching institutes are all over India now introducing online coaching for CAT and IIT-JEE.
The acceptance level, appropriate fees and essential features, for web enabled online entrance
exam preparation among the CAT and IIT- JEE students, are assessed in this ar ticle.
F
uture of education will be internet based to a great
extent. This is due to the fact that via this medium best
information can be shared
with the masses in a very
effective manner (including cost
effectiveness).Internet breaks
the boundary and distances. It
can also preserve information
unlike conventional classroom
where lecture once delivered is
not preserved. This preserved
information can be accessed
again for better understanding.
With
high
compression
tech-nology it is possible to
deliver such hi-tech classes at
affordable fee. E-learning is the
general term used to refer
A Quarterly Journal
computer-enhanced learning. Developments in Internet and
multimedia technologies are the basic enablers of e-learning,
with content, technologies
and services being identified
as the three key sectors of the
e-learning industry.
The Common Admission
Test (CAT)
D r. M i n i m o l M . C . , L e c t u r e r, R a j a g i r i S c h o o l o f
M a n a g e m e n t , R a j a g i r i Va l l e y P. O . , K a k k a n a d , C o c h i n 39, Email: [email protected]
M s . N a l i n i B., S t u d e n t - M B A , R a j a g i r i S c h o o l o f
M a n a g e m e n t , R a j a g i r i Va l l e y P. O. , K a k k a n a d , C o c h i n - 3 9 ,
C AT i s t h e m o s t p o p u l a r
B-school entrance test. It is
conducted each year on the
third Sunday of November by
the Indian Institutes of
Management (IIMs). While
the exam is conducted by the
IIMs and all the six IIMs - at
Ahmedabad, Bengaluru, Indore,
Lucknow, Kolkata, and Kozhikode - use it as part of their selection
process, they are not the only ones who do so! Apart from the
IIMs, there are close to a hundred B-Schools that use the CAT as
the ‘entrance exam’ like that is to say that they use it to shortlist
those candidates who will be invited to par ticipate in the
subsequent rounds of the selection process.
About 200,000 students are expected to give the CAT 2007 a
shot. The IIMs together have approximately 1500 seats. If you take
the top 50 B-schools, then cumulatively there are some 4000
seats on offer. Like you, almost everyone will apply to multiple
institutes - thus taking the seat to applicant ratio higher and higher.
Finally, for every seat, B-Schools invite anywhere from 3-7
candidates for subsequent rounds.
Therefore, the CAT is a terribly competitive exam. So it is essential
for the student to ensure that he or she pays enough attention to
the preparation for the CAT.
The IIT-JEE
Admission of Indian nationals to undergraduate programmes like
B.Tech/B.Pharm/Integrated M.Sc., and M.Tech courses in any one
of the IITs at Chennai, Guwahati, New Delhi, Mumbai, Kanpur,
Kharagpur and Roorkee, is made through the Joint Entrance
Examination (JEE) conducted by an IIT every year. Some other
well-known institutes also admit students to their undergraduate
programmes from the JEE merit list.
To produce exceptionally qualified human resources it is important
to take in students with material that can be moulded. This has
been the endeavour of the IITs in admitting students. This aim is
achieved by the Joint Entrance Examination, better known as the
IIT-JEE. Candidates who have passed 10+2 or equivalent
qualifying examination and secured at least 60 per cent (55
per cent for ST/SC and PD) marks in the respective Board Exams
can appear for the IIT-JEE. Understandably, the Joint Entrance
Examination — IIT-JEE — is extremely tough and calls for a high
level of preparedness. Various coaching institutes have been
assisting students to face the daunting IIT-JEE with high level of
confidence.
37
it is possible to provide online coaching, which provides wider
access to the candidates. Considering the need of the hour,
coaching institutes all over India now have introduced on-line
coaching for CAT and IIT-JEE. So an attempt was made in this
study to know the acceptance level, appropriate fees and
essential features, for web enabled online entrance exam
preparation among the CAT and IIT- JEE students.
Significance of the Study
Online entrance coaching can be taken by the students
from their home, just by having a computer with broadband
internet connection, so that they can save time, money
and can have a higher exposure with students from different
states throughout India. But the problem is whether it will
be acceptable by the students at this nascent stage.
Hence, the present study.
Objectives
The objectives of the study are:
⇒
⇒
⇒
Hypothesis
Online coaching for C AT and IIT-JEE Examinations is
comparatively superior to the conventional system
Scope of the Study
⇒
⇒
Statement of the Problem
⇒
CAT and IIT-JEE are the exams taken by people all over India. At
present the preparation for these exams is mainly through
Classroom or postal coaching. With the upswing of the internet
A Quarterly Journal
To forecast the acceptance level for the Web
enabled online entrance exam preparation in the
market,
To suggest the appropriate fee for online entrance
coaching based on the opinion of the students
enrolled for CAT and IIT-JEE coaching, and
To design the essential features for the on -line
coaching portal.
The study attempts to forecast the acceptance
level for the Web enabled on-line entrance exam
preparation in the market.
It also throws light on appropriate fees and
e s s e n t i a l f e a t u r e s f o r w e b e n a b l e d o n -l i n e
entrance exam preparation among the C AT and
IIT- JEE students.
The study has been conducted for two months
i.e. from 1 st April to 31 st May 2007. The study
consists of all type of students enrolled in
different coaching institutes for C AT and IIT- JEE.
Limitations of the Study
⇒
⇒
⇒
The study is based on the perception of students so
there may be some bias in their opinion.
There are, of course, certain time constraints.
Postal coaching students are the minor participants in
the survey.
Methodology
Method of data collection: Primary data were obtained by
interviewing students in the different coaching institutes for
CAT and IIT-JEE, and some through on-line surveys. Data were
also collected by face to face interview with the regional heads
of various coaching institutes. Secondary data were obtained
by surfing the internet and from the face to face interaction
with the employees of various coaching institutes.
38
the entire population all over India. The total number of
respondents covered under the survey was 200 for CAT and
200 for IIT-JEE, thus made a total of 400.
Pre-Test
Questionnaires prepared for the study were pre-tested among
30 students each from CAT and IIT-JEE, and based on the
outcome the questionnaires were finalized.
Tools for Analysis
Analysis was done by using SPSS. Various statistical and
mathematical techniques such as percentage analysis, paired
sample T test etc. were used for analyzing the data collected.
Data Analysis
Sampling Technique
The population being vast and wide and due to time and cost
constraints the sampling technique adopted for the survey
was convenience sampling of the students of the different
coaching institutes for CAT and IIT-JEE.
Population for the Study
The analysis is arranged in two parts such as analysis of the
responses on conventional coaching system and analysis of the
responses on on-line coaching system. Conventional coaching
system comprises both class-room and postal coaching for
entrance examinations.
Analysis of the Responses of Students
About 1,20,000 students take CAT every year and about
2,52,000 students take IIT every year. The population for the
study is all these students from different cross sections.
Sample Size
Variables used for obtaining the perception of students
include Fees to be paid, Location Constraint, Difficulty in
timings, Chance for doubt clarification, Chance for extra
reading, Convenience, Possibility of team work etc.
The population for the study as mentioned above is too large
to carry out the survey; therefore a sample of the entire
population is taken to conduct the analysis which will represent
Substantial por tion of the CAT and IIT-JEE students were in
the opinion that it is very difficult to attend the conventional
coaching [Exhibit I].
Exhibit I: Difficult to attend Conventional Coaching
NO 14%
YES 86%
Source: Primary Data
A Quarterly Journal
39
Table I: Perception of the Students on Conventional Coaching System
Perception
Very Low
Low
Very High
Total
Fees to be paid (N=200)
15
13
23
34
15
100
Location Constraint (N=200)
36
5
9
19
31
100
Time Constraint (N=200)
20
12
6
37
25
100
Chance for Doubt Clarification (N=200)
19
16
27
10
28
100
Chance for Extra Reading (N=200)
14
31
23
15
17
100
Convenience (N=200)
30
45
7
9
9
100
4
4
25
40
27
100
Very High
Total
Synergy of Team Work (N=200)
Moderate
High
Table II: Perception of the Students on On-Line Coaching
Perception
Very Low
Low
Fees to be paid (N=200)
28
31
14
18
9
100
Location Constraint (N=200)
35
27
9
16
13
100
Time Constraint (N=200)
15
15
7
42
21
100
Chance for Doubt Clarification (N=200)
5
1
14
41
39
100
Chance for Extra Reading (N=200)
1
11
35
35
18
100
Convenience (N=200)
4
6
23
38
29
100
41
10
13
17
19
100
Synergy of Team Work (N=200)
Moderate
High
Perception of the CAT and IIT-JEE Students regarding the
special features of class-room and postal coaching is given
in Table I.
Nearly half of the students (49 per cent) agree that the fees
to be paid for conventional coaching is high as compared to
on-line coaching and another 23 per cent agreed that it is
moderate enough to accommodate students from middle class
families. Half of the students (50 per cent) pointed out that the
problem of location constraint is high in conventional system.
A Quarterly Journal
For ty one per cent students opined that it is low as they
select the coaching centre according to there convenience.
Majority (62 per cent) of the students consider time constraint
is very high in conventional system. More than one-third of
the students (38 per cent) pointed out that conventional
system of coaching offers better doubt clarification facilities
and 45 per cent students complained that chance for extra
reading is low in the case of class-room and postal coaching.
A good number of students (75 per cent) opined that online coaching is convenient than class-room or postal
40
coaching and 67 per cent agreed that synergy of team work
is high in conventional coaching system.
Perception of the students enrolled for CAT and IIT-JEE on
the proposed on-line coaching is also collected through
online and personal survey. The results of the survey are
arranged in Table II.
More than half of the students (59 per cent) agreed that the
fee to be paid for on-line coaching will be low as compared
to the conventional system of coaching. Sixty two per cent
of the students pointed out that location constraint will not
cause many problems in on-line coaching because students
can access the coaching facilities at their home. Majority of
the students revealed that they are satisfied with on-line
coaching as it will offer flexibility of time. Substantial number
of students (80 per cent) pointed out that on-line will offer
better doubt clarification facilities and 53 per cent students
agreed that chance for extra reading will be high in the case
of on-line coaching. A good number of students (67
per cent) opined that convenience is there in opting for online coaching and 51 per cent agreed that synergy of team
work will be less in on-line coaching system.
Regarding the preference for on-line coaching, out of the
400 students, 63 per cent prefer online coaching in addition
to conventional coaching and 9 per cent prefer on-line
coaching as an option to conventional coaching. 28
per cent students agreed that they don’t prefer on-line
coaching at all [Exhibit II].
Exhibit II
Preference for Online Coaching
28%
online coaching in addition
to classroom coaching
online as an option to class
room coaching
don’t prefer online coaching
63%
9%
Source: Primary data
Table III: Paired Samples Statistics
Pair 1 Sum of perceptions on On-Line Coaching
Sum of perceptions on Conventional Coaching
Mean
N
Std. Deviation Std. Error Mean
3.1000
200
.75688
.05352
2.9700
200
.79515
.05623
Source: Computed from Primary data
A Quarterly Journal
41
and sum of perceptions on on-line coaching given by
the students. So it can be concluded that on-line
coaching system is comparatively superior to the
conventional system of C AT and IIT-JEE Coaching.
The hypothesis is tested using paired sample T test as
the samples are related in nature. The result of paired
s a m p l e T t e s t i s s u m m a r i z e d i n Ta b l e s I I I , I V a n d V.
The Paired-Samples T Test comparing the means of Sum
of perceptions on class-room and postal coaching
and sum of perceptions on on-line coaching provides
a ‘p’ value [0.059] which is greater than 0.05. Hence
the hypothesis stands accepted at 5 per cent level of
significance. It means that there is significant difference
between sum of perceptions on conventional coaching
Regarding the appropriate fee for on-line coaching,
majority of students opined that they are willing to
spend Rs.3500-Rs.5000. 22 per cent is willing to pay
Rs.5000-Rs.6500 for on-line coaching and nine
p e r cent each is willing to pay Rs.6500-Rs.8000 and
above Rs.8000 respectively [Exhibit III].
Table IV: Paired Samples Correlations
N
Pair 1
Sum of Perceptions on Conventional
Correlation
200
Sig.
.222
.002
Coaching and On-Line Coaching
Source: Computed from Primary data
Table V: Paired Samples Test
Paired Differences
Mean
t
DF
Sig.
( 2-tailed)
1.898
199
.059
Standard
Standard 95% Confidence
Deviation Error Mean Interval of the
Difference
Lower Upper
Pair 1 Sum of Perceptions
on Conventional and
On-Line Coaching
.1300
.96840
.06848
-.0050
.2650
Source: Computed from primary data
Exhibit III: Preference for On-Line Coaching Fees
online coaching fees
9% Above Rs.8000
9%
Rs.6500 - Rs.8000
22%
60%
Rs.5000 - Rs.6500
Rs.3500 - Rs.5000
A Quarterly Journal
Essential features for On-line Coaching Portal
42
♦
Doubt clarification session as video conferencing and
on-line chatting.
Face to face interaction with the students and exper ts in
the field reveals that the following features should be
treated as the essential pre-requisite of an on-line entrance
coaching por tal.
♦
E-books may be provided along with the coaching.
♦
Majority students prefer on-line coaching in addition
♦
Instant doubt clarification facilities,
to classroom coaching and they are willing to spend
♦
Direct interaction with faculty,
an amount in between Rs.3500 and Rs.5000 towards
♦
One to one interaction,
♦
Competitive environment ,
♦
Interaction with other students,
♦
Live question answer session with the faculty,
♦
Audio, video facility,
♦
Group learning,
♦
Group Discussions, and
♦
Shor tcuts and ways to solve.
this. Hence it is advisable to charge fees between
Rs.3500 – Rs.5000.
Conclusion
From the study it can be concluded that web enabled online entrance exam preparation will have ample scope in the
market. Existing difficulties in the conventional system ensures
more feasibility to on-line coaching system. However the
success of the por tal will depends on the specific features
of the portal. The students are looking for all the characteristics
Summary of Findings
of the conventional system along with added advantages like
convenience, low fees, absence of location and time
The major findings of the study are summarized below:
♦
Difficulty exists in attending conventional entrance
coaching classes.
♦
Considerable number of students prefers on-line
coaching in addition to the conventional system.
♦
♦
A good number of students are willing to spend an
amount ranging from Rs.3500-Rs.5000 towards on-line
entrance coaching.
Students have suspicion about the doubt clarification
system and extra reading facilities of on-line coaching.
constraint. Hence it is essential to device the por tal with all
these characteristic features to take advantage of the market
potential.
Reference
Books
Z i k m u n d , W i l l i a m G . B u s i n e s s Re s e a r c h Me t h o d s [ 7 t h
Edition]. Thomson Publishers, 2007.
C . R .K o t h a r i , R e s e a r c h M e t h o d o l o g y M e t h o d s a n d
Techniques [2 nd Edition], New Age Inter national
Publishers, New Delhi: 2004.
Suggestions
Coo per, Donald R . and
Based on the analysis and findings, the following
recommendations are made for the effective implementation
of the new system.
♦
There is higher level of acceptance for online
coaching, so it is the right time to star t the por tal.
Schindler, Pamela S. Business
Research Methods [8 th Edition]. Tata McGraw-Hill
Publishing Company Ltd., New Delhi: 2003.
Websites
<www.time4education.com>, <www.cflogic.com>,
♦
On-line coaching can be provided in addition to
classroom coaching.
A Quarterly Journal
<www.careerlauncher.com>, <www.indianetgroup.com>,
<www.aspirelearning.com>, <www.esurveyspro.com>.
43
Tourism Destination:
Image Building
Sampad Kumar Swain
The measurement of destination image tends to provide a comprehensive overview on the varied
attributes of destinations by examining the feelings and experiences of visitors. Destination
promotional agencies strive hard to put an outstanding show of attributes of destination in a
fabulous way to cater to the urge and demand of visitors. This paradigm has widely been recognized
all across the industries owing to have much relevance in the context of destination marketing. The
present paper offers an overview on the concept of the destination image as to how the destination
image is determined by the quality of infrastructure and quality of services. On the basis of the
data collected from the domestic tourists, the study has revealed the significant role of the two
destinations attributes for playing decisive roles in the promotion of destination image. The paper
has also given much scope for comprehensive discussion about the issues and suggested
constructive solutions to manage the two major growing issues that generally obstruct the formation
of a better destination image for Puducherry in the different generating tourist markets in India.
T
ourism is one of the leading growth-driven sectors
and custom-made travel services, low cost air services, simplified
recognized as a major engine for socio-economic and
and hassle free travel formalities etc. Today, more countries than
cultural development by all
ever before have given maximum
countries in the world. It is an
preference to revenue generation by
unvarnished fact that International
focusing on the promotion of
tourism has witnessed a phenomenal
international tourism. Path-breaking
growth in the era of globalization
measures introduced in the aviation
and liberalization. The movement of
sector like long-haul non-stop flights
people across international
have minimized the travel distance
boundaries has risen spectacularly
between continents and the booking
over the last one-and-a half
procedures have become simplified
decades. The recovery of
with the availability of web-based
D r. S a m p a d K u m a r S w a i n , L e c t u r e r i n To u r i s m
international tourism may be
information on the finger tips.
S t u d i e s , D e p a r t m e n t o f To u r i s m , S c h o o l o f
attributed to the upbeat growth in
Management, Pondicherry University, R.V
Competition among tourist products
N a g a r, K a l a p e t , P o n d i c h e r r y - 6 0 5 0 1 4 , E m a i l :
the Information and Communication
and destinations is the order of the
s
a
m
p
a
d
s
w
a
i
n
@
y
a
h
o
o
.
c
o
.
i
n
Technology sector, a multitude of
day and every promoter is vying with
travel choices with cost-effective
one another for share of the market.
A Quarterly Journal
The degree of motivations and expectations followed by habits
and life style of tourists has undergone substantial changes.
These changes are the glaring indicators and acts as catalysts
for the destinations to inculcate the spirit of competition, taking
into account the tourist’s profile, activities and interaction with
the environment. These destinations should be thought of as
evolving a competitive destination image in the form of a definite
brand image that has to be managed effectively and positioned
strategically. More particularly, a tourist destination such as
Puducherry that remains untapped and unexplored in many ways
needs to plunge into an aggressive brand campaign to place the
country’s fabulous tourist attractions in the international tourist
market.
Thus, the destination image has turned out to be a strategic
tool aiding to realize a competitive advantage and leverage
to the Indian tourism industry. It has a greater role to play in
the description, promotion, distribution, amalgamation,
organization and delivery of the destinations’ products in a
dynamic way. It is widely accepted that the destinations
possessing a positive image get a facelift on par with the
competitors and also validate tourists’ decision making
process. As a considerable number of factors affects tourists’
decision making process, e.g. climate, scenery, accommodation,
cultural attributes, political factors, exchange rates, the availability
and form of transportation etc, tourists possess images of
potential destinations which reflect their perception of the ideal
and appropriate characteristics of a destination. In addition to
this destination images permit tourists to generate a set of
expectations about a destination before that destination is
actually experienced. The latter seems to be important as the
tourism product has become a bundled product whose
services are often characterized by credence and experience
qualities.
Therefore, this paper is presented in the following
sequences: Firstly, it reviews and evaluates some literature
per taining to the constr uct of destination image and its
association with infrastructure and services. Finally, a
primary survey of foreign tourists is analyzed and
presented highlighting on the evaluation of destination
attributes of India broadly classified into two. The paper draws
inferences while emphasizing on the overall implications of
the management of India Tourism and its concern for the
destination image and calls for meeting future research
requirements.
A Quarterly Journal
44
Review of Literature
The destination is a location that travelers desire to visit during
the ideal time and where they spend time, in tandem with their
motivations, needs, and expectations. A destination can be as
small as a single building or structure to as large as an entire
continent. Howsoever the size of the destination may be
adequate facilities and services must be developed to satisfy
the needs of visitors. Crompton (1979) suggests a destination
image as ‘the sum of beliefs, ideas and impressions that a
person has of a destination.’ Um and Crompton (1990) have
put forth the process of the formation of overall image from
evaluation of an object and described that the image of a
place as a pleasure destination is a gestalt. It is a holistic
construct which, to a greater extent, is derived from attitudes
towards the destination’s perceived tourism attributes.’ MacKay
and Fesenmaier (1997) have argued that a destination’s image
is a composite of various products (attractions) and attributes
woven into a total impression. Predominantly, since present
destinations are competitive in nature with other destination
markets for acquiring massive share of business, it is, therefore,
essential to have a thorough understanding of destination
formation to undertake fundamental steps and procedures to
enhance destination attractiveness as well as market
competitiveness. The image correlates the tourist’s attitudes
towards a number of attributes. The image concept has by
and large been considered as an attitudinal construct
consisting of an individual’s mental representation of
knowledge (beliefs), feelings and global impression about an
object or destination (Baloglu and McCleary, 1999). Fakeye
and Crompton (1991) expanded these dimensions into three
dimensions: (1) organic, (2) induced, and (3) complex. Dann
(1996) and Gartner (1993) in their socio-linguistic model of
destination image formation also delineated three components
of images: (1) affective (internal sources or stimuli), (2) cognitive
(external sources or stimuli), and (3) conative (of stimuli and
motives). Recently, Baloglu (1999) has proposed and tested
two different distinct components but these are interrelated
to each other such as affective (feelings) and cognitive (beliefs)
image. Affective image deals with the emotional response of
individuals to a place or product. Cognitive image, on the
other hand, represents knowledge of the place, environment
or product features. However, each destination offers different
images to tourists so that the separated measurement of image
for each destination is necessary (Gartner, 1993). In this regard,
destination image can also be seen as an umbrella construct
for different products and services. The destination image is
influenced by two important attributes of tourist behaviour,
one is atmospheric attributes and another is environmental
attributes. Atmospheric attributes are related to the climate,
weather, temperature, humidity etc; and the environmental
attributes encompass the socio-cultural, economic and political
aspects of a destination.
Destination image can be perceived, organized and instituted
as a second order factor model that includes affective and
cognitive image. Noticeably, it can be suggested that affective
image has more impacts on developing destination image. Thus,
destination attributes that are associated with internal sources
or feeling of travel such as exotic atmosphere, relaxation, scenic
beauty, and good climate, are useful components of developing
destination image. Also, cognitive image components such as
personal safety, availability of good restaurants, suitable and
standardized accommodations, friendly people and unique
architecture could be good destination attributes to develop
destination image. As a result, this information could be of
interest for destination marketers and developers to understand
destination image so that the appropriate services and products
can be introduced and developed in order to enhance the status
of the destination image. The marketing of destinations thrives on
the presentation of a clear and precise image that has the capacity
to invite the attention of potential tourists. This process may lead to
superficiality and oversimplification in the promotional material
produced. Images in tourism marketing may be viewed as
semiotic tools, used to reflect complicated cultural systems
of travel destinations. These images often reflect how it is
perceived that people want to see a destination and they
may reveal visions and aspirations that have existed in a society
for a long time (Jensen and Korneliussen 2002). Attractions
provide the pull factors, which energizes and entices
individual’s need to travel. It is the job of attractions to pull
people towards them and satisfy their needs. Attractions
awaken a sleeping or dormant need and induce the individual
to act by traveling to the attraction. The impor tant role of
attractions is to create an image that distinguishes one place
to another.
Assessment of Tourist Behaviour
This study integrates theories from tourism destination image
and tourist behaviour to examine how the feedbacks of
tourists are used to determine and assess the tourist behaviour
A Quarterly Journal
45
on the destination, image construction and interpretation. Image
has been shown to be an important influence in the selection
of destinations. A destination image is formed by both stimulus
factors and tourist‘s characteristics (Baloglu and McCleary 1999).
Tour operators today play a very important role in creating the
images of destinations. In this global capacity, they can
significantly influence international tourism flows towards a
country hit by safety and security risks. Even decisions of
individual tourists on where to spend a holiday very often
depend on the attitude and practice of tour operators
towards a particular destination (Cavlek 2002). Appraisal is
an impor tant technique of understanding the pre and post
behaviour of tourists about the destination. The image of a
destination dwells on the appraisal results collected and analyzed
by the intermediaries with the purpose of examining the outlook
on various services rendered at the halting place of the tour. A
good number of studies have been undertaken to bring forth
the underlying importance of appraisal method in measuring the
behaviour of tourists (Pritcharda and Havitza 2006).
Psychographic segmentation in tourism marketing research can
be an impor tant tool in ascer taining why tourists choose
destinations and what are their expectations and perceptions
of a holiday experience (Waryszak and Hyeonju 1995).
Methodology
The objective of the study is to evaluate various destination
images and analyze the opinions of the foreign tourists as
target respondents regarding the Puducherry’s destination
image and its unique selling points. The study emphasizes
the significance of tangible and intangible destination
attributes by taking the empirical results to be derived from
the data analysis. Many similar studies have been undertaken
in the context of destination image. A wide variety of
quantitative tools have been employed to collect evaluative
information. However, in recent years attitude rating scales,
along with increasingly sophisticated analyses, have come to
dominate as the method of choice for examining tourist
experience (Reid and Andereck 1989). Evaluations of
festivals, ski resor ts, and destinations have all used bipolar,
semantic differential or Liker t-style attitude scales to
understand appraisals (Baker and Crompton 2000). For
example, Pritchard and Havitz (2006) have made a case study
on the appraisal of destination image in the Western Australia
by using a structured questionnaire and the quantitative
method.
A survey was carried out by interviewing respondents
comprising of domestic tourists for gaining fur ther insights
into the evaluation of destination images during January 2007.
Thus, 110 domestic tourists from various states more particularly
from West Bengal, Andhra Pradesh, Kerala, Orissa and Karnataka
were requested to put tick mark basing on their judgment in the five
point Likert scale questionnaires concerning various destination
attributes. Finally 100 properly filled-in questionnaires were
included in the coding and data analysis. After the collection of
the questionnaires, respondents were grouped into three
categories at the time of coding the data. The objective of
classifying the respondents into three groups was to ascertain
the differences of opinions on the premise of the destination
image. It is timely to mention that division of the total respondents
into three groups on the basis of their spending capacity has a
strong relationship with the selection of the quality of
infrastructure and services. In majority cases, tourists do not
tend to compromise with quality of facilities and services during
their leisure or business trips. The primary questionnaire survey
was conducted on site which is Puducherry. The respondents
were interviewed by the students of Department of Tourism,
Pondicherry University and students were trained to select the
respondents on the basis of convenience - cum - judgment
sampling technique.
The previous studies on the measurement of destination images
have been reviewed to get a final list of destination attributes.
These destination attributes are broadly classified into two major
variables which are quality of infrastructure and quality of services.
The quality of infrastructure encompasses Night life ,
entertainment, Shopping facilities, Quality of Cities, Local cuisine,
food quality, Local traffic, transport infrastructure, Quality of
accommodation, Spor ts and recreation facilities, banks,
telecommunication, post office, etc and the quality of services
comprises Hygiene, cleanliness, Safety, security, Honesty,
authenticity, Accessibility, Luxury, Experience, adventure, Variety,
fun, Freedom, Open mindedness, etc. Respondents were
requested to evaluate these two attributes on a five point Likertscale including tangible as well as intangible factors. The data
collected was analyzed using the SPSS data analysis package.
Statistical tools such as mean and standard deviation were applied
to find the results about the perceptions of foreign tourists
regarding the attributes of destination images in Puducherry. Mean,
standard deviation and one way ANOVA were also computed.
The use of one-way ANOVA was taken to test the hypothesis. The
results of the analysis are presented in the following tables.
A Quarterly Journal
46
Hypothesis
H1: There are no significant variances among the three
categories of domestic tourists about the quality of
infrastructure and quality of services as significant attributes of
destination image on the basis of the spending capacity.
Data Analysis
In a bid to mark the mean and standard deviation differences of
perceptions on the destination image, the descriptive statistics
of the three groups of respondents are illustrated in table 1.1. In
the first attempt, the analysis is made on the variable of quality of
infrastructure by using the mean and standard deviation method
in order to determine the difference of means and square of
means of three categories of respondents. The group having
maximum spending ability has attributed to the quality of
infrastructure as a major image building factor relatively compared
to other two groups of respondents such as minimum and least
spending groups. There is a highest mean value of 3.92 in case
of group having high spending capacity whereas mean values
of 3.12 and 1.53 in case of medium and low spending groups
respectively. The results of the standard deviation are also equally
important in establishing the degree of dispersion among the
three respondent groups on the quality of infrastructure as a key
determining factor of destination image. However, there is no
much dispersion between the opinions of the high and low
groups on the quality of infrastructure. Whereas, considering
the quality of service as another vital attribute of destination
image, it is ascertained from the results of mean that the high
spending group has secured highest mean value of 4.7
followed by the medium spending group. The low spending
group has relatively secured very less mean score. There is no
much difference of standard deviation among the three groups.
The result of the standard deviation denotes greater consistency
in their opinions about the quality of infrastructure.
It is essentially important to determine the change of perceptions
of respondents on these two major destination attributes. Thus,
there exist differences between each spending groups of the
quality of infrastructure and the quality of services. But there is a
visible difference of opinions between high spending group of
the quality of infrastructure and the quality of services. The high
spending group has relatively considered the role of service
quality that effectively changes the image of the destinations
more than the quality of infrastructure can do. In a similar case, it
47
Table.1.1: Descriptive Statistics
Destination Image Attributes
Tourist Spending Groups
Quality of Infrastructure
High Spending
3.92
.615
Medium Spending
3.12
1.29
Low Spending
1.53
.516
Total
3.1
1.29
High Spending
4.7
.465
Medium Spending
4.05
.574
Low Spending
1.66
.975
Total
3.87
1.15
Quality of Services
is also observed that there is no much dispersion among the
respondents in each group about the quality of service as a
major influencing factor in building destination image.
The results of the ANOVA are presented in table-1.2. It is
explained about the variance of means between and
within the groups of respondents. While taking the
instance of the basic tourism infrastructure as a major
image building attribute for destination, the F- statistics
is 24.422 that is followed by the F distribution with df=
(2, 97) and an associated P- value=.000. Therefore, the
null hypothesis is rejected at the five per cent significance
level. Another factor that has much larger impact on the
formation of destination image is the quality of services. The Fstatistics is 119.945 and F distribution is df= (2, 97). The
associated P- value =.000 that signifies the significance of the
hypothesis. Both the associated values have rejected the null
hypothesis that states that there is no significant variance among
the three categories of domestic tourists about the quality of
infrastructure and quality of services as significant attributes of
destination image on the basis of the per capita spending at
the destination. It may otherwise be stated that the effect is
said to be significant. The data provides sufficient evidence to
conclude that a difference exists in the perception of domestic
tourists about basic tourism infrastructure and services as two
broad determining factors of the destination image.
A Quarterly Journal
Mean
Std. Deviation
When the effects of the one way ANOVA are significant, it tends
to imply that the means differ more than that would be expected
by chance alone. In terms of the above experiment, it would
indicate that the destination images were not equally effective in
building a magnificent destination image for Puducherry in the
domestic tourism market in all across countries. When the effects
are significant, the means must then be examined in order to
determine the nature of the effects. The measure which examines
the difference of means among the three categories of tourists is
“post-hoc test.” The analysis is fairly evident simply by looking at
the size of the various means. When the null hypothesis is rejected
in a one way ANOVA, the conclusion is that the means are not all
equal. An attempt has been made to analyze further i.e., which
means are different, which is the highest, or, more generally,
the relation among means can be ascertained. Thus it is essential
to adopt the Tukey multiple comparison method to distinguish
between the individual confidence level and group confidence
level. The Tukey multiple comparison method is based on the
studentised range distribution for obtaining confidence intervals
for the differences between means which is similar to the
pooled t- interval formals.
Having established the significant differences of means
between groups and within groups in respect of quality of
infrastructure and quality of services, an effort is undertaken to
use the Tukey’s post hoc test to examine whether there are
48
Table 1.2: ANOVA
Variables
Quality of Services
Tourist Spending Groups
Between Groups
df
Mean Square
55.260
2
27.630
Within Groups
109.740
97
1.131
Total
165.000
99
Between Groups
93.502
2
46.751
Within Groups
37.808
97
.390
131.310
99
Total
any differences of means among the groups such as high,
medium and low spending groups or not. To further validate
the significance of hypothesis, post hoc test has been
conducted to look into the actual differences between the
groups about the quality of infrastructure and quality of services.
While analyzing the out-put of post hoc results given in table
1.3, it is concluded that there is a difference between high
spending group tourists with the medium and low spending
group of tourists. It is further tested that each group is very
much significant (p<0.04) about the quality of infrastructure
that has been perceived differently by three categories of
tourists. Therefore, the outputs of Tukey’s post hoc test have
validated the significance of hypothesis test carried out by
using the ANOVA test in table-1.2. The quality of services is
considered to be another significant factor to decide the
building of image of destinations. The quality of services is
also regarded as impor tant determinants of destination image
building. It is also observed that there are differences of
perceptions between high spending and medium spending
groups and vice versa. Similarly, there are differences of
perceptions about the quality of services between medium
spending and low spending group and vice versa. However,
much difference of views on both the two key destination
images building factors is reported in case of high spending
group with other two categories.
Discussion and Conclusion
The study of the measurement of destination image has been
regarded as a thrust area to pursue empirical tourism research
work for the last three decades. People’s perceptions on
A Quarterly Journal
Sum of Squares
F
24.422
Sig.
.000
119.945 .000
various attributes in a destination will tend to form a composite
or overall image of it. Thus, it is important to delineate the
relationship between the overall image and its components.
The process of selection of potential destination is solely driven
by the image of a particular place or region that is a determining
factor in the destination choice process. Since the manner in
which tourists perceive travel destinations has a basic influence
on their travel decisions. A destination’s image is a significant aspect
in the tourist’s decision making process, even if it does not
accurately portray of what in reality the place has to offer. There
is a clear relationship between positive perceptions of
destinations and positive purchase decisions; as a result,
destination image becomes an important determinant of tourist
buying behaviour. One of the most impor tant tasks in the
development of a destination’s image is the creation and the
transmission of a favourable image to a potential tourist by sharing
good experiences about the quality of infrastructure and quality
of services. This clearly leads to strengthening the destination’s
competitiveness. Destination planners and promoters have to
customize their products by adopting innovative marketing
efforts to suit the image of a particular target audience, and so
it is implied that they must take into account the image of it
upheld by visitors.
An open discussion is essential to go deep into the discussion
about the destination image attributes and their consequent
impacts on the promotion of destination image in the tourist
generating markets. Destinations are expected to be endowed
with premium attributes that augment the competitiveness in
the ever growing tourism market. A well-maintained
destination will outsmar t other rival destinations by
49
1.00
2.00
3.00
Quality of Services
1.00
2.00
3.00
95%
Confidence
Interval
Sig.
Std. Error
Mean
Difference
(I-J)
(J) Category of
Tourists on
duration -wise
Category of
Tourists on
duration -wise
Dependent
Variable
Table.1.3 Tukey HSD: Multiple Comparisons
Lower
Bound
Upper
Bound
2.00
.80524(*)
.24781
.004
.2154
1.3951
3.00
2.39259(*)
.34253
.000
1.5773
3.2079
1.00
-.80524(*)
.24781
.004
-1.3951
-.2154
3.00
1.58736(*)
.30811
.000
.8540
2.3207
1.00
-2.39259(*)
.34253
.000
-3.2079
-1.5773
2.00
-1.58736(*)
.30811
.000
-2.3207
-.8540
2.00
.65198(*)
.14545
.000
.3058
.9982
3.00
3.03704(*)
.20105
.000
2.5585
3.5156
1.00
-.65198(*)
.14545
.000
-.9982
-.3058
3.00
2.38506(*)
.18085
.000
1.9546
2.8155
1.00
-3.03704(*)
.20105
.000
-3.5156
-2.5585
2.00
-2.38506(*)
.18085
.000
-2.8155
-1.9546
* The mean difference is significant at the .05 level.
superimposing the facilities and amenities along with the massive
improvement of quality of services. In the competitive world,
destination intermediaries, promoters, planners and developers
are taking supplementary safety measures to meet to the demand
of the tourists because destinations are competing at the national
and international spectrum. On the other side of the discussion,
tourists are flooded with comparative choices and preferences.
The new age tourists are more motivated for value added
attractions that the tourists of the pre-globalization period. In
the era of information highway, it is reasonably possible to have
a comprehensive idea about the quality of products and services
available at each stopover in the holiday trips.
In the present paper, it is the intention to uncover the possible
grounds for which the differences have occurred among the
groups in realizing the image of destinations. It is inferred
from the analysis that domestic tourists have shared their varied
perceptions on the quality of infrastructure and quality of
services. The paper has drawn a relevant hypothesis to test
A Quarterly Journal
the results of primary data directly collected from the tourists.
That hypothesis is rejected based on the output shown in the
ANOVA table 1.2. The rejection of first hypothesis has tentatively
proved that the quality of services and the quality of infrastructure
are the significant predictors for the destination image building.
It is clearly perceived from the results of the rejection of
hypothesis that tourists lay a high degree of importance on the
service quality as it gives them a kind of comfort and respite
during their visit to tourist destinations. It can be compared with
the common parlance of human beings where the basic
understanding is a need for better and improved service quality
at the place of stay. Therefore, tourists have clear-cut
expectations and the demand for safe and comfortable places
of stay is very intense. The units of accommodations which they
prefer as a sojourn should cater quality services as per the needs
and expectations of the guests. It is obvious that there are
significant differences among the three groups of domestic
tourists as respondents having low spending ability in the present
study have given less importance as compared to the tourists
having high spending ability. Similarly, domestic tourists having
medium spending ability have also become less serious for the
quality of services than the high spending ability. It is inferred
from the results of the hypothesis that the difference will exist
among the three groups because quality of services are the
major pulling factors of destinations. Those who have the ability
to spend or already spent must sincerely have scanned all
dimensions of services because their stays will be longer and
their dependence and reliability on the services will be much
more as compared to the other two categories of tourists groups
in the study. The overall perception of three respondent
groups in the quality of services is as good as the results of
the quality of infrastructure. There are significant differences
of perceptions of three categories of tourists on the quality
of infrastructure front. The results have demonstrated that low
spending respondents have given modest attention to the quality
part of the infrastructure because much of the facilities are
unaffordable as they are treated as budget category tourists in
our conventional parlance. It is the high and medium group of
domestic tourists who are treated as a major determining
attributes of selecting these destinations. The results of
hypothesis in the ANOVA test have also been examined
fur ther by using the post hoc turkey test. The outputs of
the analysis have demonstrated the differences among the
three groups in the case of quality of infrastructure variables and
so also in case of quality of services.
The paper has made an intensive discussion on these two
destination image building attributes which have solicited
pertaining views from the three categories of tourists in tourist
destinations in and around Puducherry by using a judgement
sampling method. The paper has some limitations for drawing
general conclusion as the sample is not large and so also the
area of the study. However, the results of the study will unveil
wide-ranging discussions in the future. The Ministry of Tourism
both at the centre and at the union territory of Puducherry, should
take leverage of the findings of the study as critical factors to
mould the tourist destinations to the demand and expectation
of the tourists. The study has reproduced the facts that
Puducherry Tourism along with India Regional Tourism Office in
Chennai should evolve promotional strategies to allure long haul
tourists with high spending ability than the shor t haul or
transit tourists with having little scope for spending. The
former will generate much revenue for the people
delivering services at various stages in the tourist
A Quarterly Journal
50
des tinations. On the other hand, room occupancy rates will be
higher and ground transports will also be used on a much larger
scale. Infrastructural development that are in the pipeline will not
be sufficient at all to cater to the demand of the destinations
which will be growing at a fast pace in terms of multiplier effect
on the local economy. After all, optimum utilisation of infrastructure
facilities at the destination may certainly be possible.
The present research implies qualitative improvement of
infrastructure and services at the destinations as having a
significant impact on the overall destination image.
Destination planners, promoters and developers should
plan for much investment on research and development
on varied areas of destination image building measures.
Unlike other neighbouring states like Kerala, Tamil Nadu,
Andhra Pradesh and Karnataka, Puducherry is also
bestowed with diversified tourist destinations which are
known for their intrinsic charm and uniqueness. Thus these
unrivaled and implausible destinations have created a
better image for Puducherry whereas the two major
destination image building determinants like the quality of
infrastructure and the quality of services should equally match
with the original value of the destinations. The conclusion may
be drawn by delving on one more important point in the study
about the new age tourists who are much concerned for the
destination image for the fact that motivational factors of the
destination alone cannot pull the tourists but it is the quality of
infrastructure a n d q u a l i t y o f s e r v i c e s w h i c h p l a y a v i t a l
role in helping the tourists to take the final decision
to visit the destinations.
The underlying study has firmly argued for greater
destination image building exercise in Puducherry in the
coming decade because Puducherry is recognized as
most preferred weekend destination by the domestic
tourists of adjoining states. Thus, the paper has sincerely
presented the ground for the future research work in the
area as the prospective research work will highlight other
relevant issues and challenges affecting Puducher r y ’s
destination image in the domestic tourist market. Finally
the under taking of future work will cer tainly throw open
more latent discussions on the critical aspects of
destination image.
Keywords: Destination Image, Quality of Infrastructure,
Quality of Service and Evaluation.
References
51
Travel Research. Vol. 32 (2) (1991): 10-16.
Baker, D. and J. Crompton. “Quality, Satisfaction and
B e h a v i o u r a l I n t e n t i o n s . ” A n n a l s o f To u r i s m
Research. Vol. 27 (2000): 785–804.
Gar tner, W.C. “Temporal Influence on Image Change.”
Annals of Tourism Research. Vol. 13 (1986). 635–
644.
Baloglu, S. and McCleary, K.W. “A Model of Destination Image
Formation.” Annals of Tourism Research. Vol. 26
(4) (1999): 868-897.
J e n s s e n , O. a n d K o r n e l i u s s e n , T. “ D i s c r i m i n a t i n g
Perceptions of a Peripheral.” Jour nal of Travel
Research. 41 (2002): 185-196.
Baloglu, S. “A Path Analytic Model of Visitation Involving
Information Sources, Socio Psychological
Motivations, and Destination Image.” Journal of
Travel and Tourism Marketing. Vol. 8 (3) (1999):
81–90.
MacKay, K.J. and Fesenmaier, D.K. “Pictorial Element of
Destination in Image Formation.” Annals of Tourism
Research. Vol. 24 (3) (1997): 537–565.
Cavlek, N. “Tour Operators and Destination Safety.” Annals
of Tourism Research Vol. 29 (2) (2002): 478-496.
Crompton, J.L. “An Assessment of the Image of Mexico as a
Va c a t i o n D e s t i n a t i o n a n d t h e I n f l u e n c e o f
Geographical Location upon That Image.” Journal
of Travel Research. Vol. 17(4) (1979): 18–23.
Dann, G.M.S. “Tourist Images of a Destination – An Alternative
Analysis.” Journal of Travel and Tourism Marketing. Vol. 5
(1/2), 41–55, 1996.
Fake y e , P. C . a n d C r o m p t o n , J . L . “ I m a g e D i f f e r e n c e s
between Prospective, First-time and Repeat
Visitors to the Lower Rio Grande Valle.” Journal of
A Quarterly Journal
Pritcharda, M.P. and Havitza, M.E. “Destination Appraisal: An
Analysis of Critical Incidents.” Annals of Tourism
Research. Vol. 33 (1) (2006): 25-26.
Reid, L. and K. Andereck “Statistical Analyses Use in Tourism
Research.” Journal of Travel Research. 28 (2) (1989):
21–24.
Um, S. and Crompton, J. “Attitude Determinants in Tourism
Destination Choice.” Annals of Tourism Research.
Vol. 17 (3) (1990): 432–448.
Waryszak, Z. and K., Hyeonju. “Psychographic Segmentation
of Tourists as a Predictor of Their Travel Behaviour:
A n E x p l o r a t o r y S t u d y o f Ko r e a n To u r i s t s t o
Australia.” Journal of Hospitality and Leisure
Marketing. Vol.2 (4) (1995): 5-19.
52
Perceptual Mapping:
The “Country” Consumer and
Toilet Soap Branding
Ramakrishnan Venkatesakumar, Thillai Rajan P. , and Ramkumar D.
Indian rural markets are highly heterogeneous with different life styles patterns, literacy
levels, spending pattern, socio-cultural differences and high degree of fragmentation
in terms of size and languages spoken , and these factors make any marketer to rethink
about the effor ts they need to place in ser ving these markers. The cur rent study aims
to find out how the performance of toilet soap brands is assessed by the consumers
and relative positioning of various brands on the selected marketing mix elements.
The findings include lack of clear positioning based on quality aspects by the rural
consumers and need for improving positioning based on quality.
I
ndia is one of the largest emerging markets, with a population of
concerned about some of the key issues of interest including
over one billion. It is one of the largest economies in the world
understanding rural consumers or reaching out with
in terms of purchasing power
products and services to
and has a strong middle class
remote locations and
base of 300 million. Around
developing suitable
70 per cent of the total
communication
households in India (188
strategies to these
million) reside in the rural areas
markets where the rural
and the average household
audiences are vastly
size is estimated at 5.6 persons
heterogeneous. With
per household. The rural
growing incomes at both
markets in India show a steady
the rural and the urban
M r. R a m a k r i s h n a n V e n k a t e s a k u m a r, F a c u l t y - J S N S c h o o l o f
growth and it is estimated to M a n a g e m e n t S e r v i c e s , K a n c h i p u r a m - 6 3 1 5 0 1 , Ta m i l N a d u , level, the market potential
be larger than the urban E m a i l : v e n k a t @ j s n i n d i a . o r g
is expected to expand
markets; nearly 53 per cent of
fur ther. One of the key
FMCG sales and 59 per cent M r. T h i l l a i R a j a n P. , Fa c u l t y - D e p a r t m e n t o f M a n a g e m e n t S t u d i e s , geographical areas that
durable sales accounted by T h i a g a r a j a r C o l l e g e , M a d u r a i , E m a i l : t h i l l a i r a j a n @ l i n u x m a i l . o r g
need specific research
these markets. Many companies
is rural areas of Indian
Mr.Ramkumar D., Faculty -Depar tment of Management Studies, The
consider the rural markets to be American College, Madurai, Email: [email protected]
sub-continent. The current
vital for growth. Marketers as well
study aims to focus on the
as academic researchers are
perceptions on various
A Quarterly Journal
factors like price, quality and performance factors of the
toilet soap brands by the rural consumers. The study is
expected to give insights into the marketers to reposition
their brands, if needed, based on various factors and
develop suitable marketing mix strategies, specific to the
rural consumers.
Introduction about the Indian FMCG Industry
The Fast Moving Consumer Goods (FMCG) sector is the fourth
largest sector in the Indian economy with a total market size in
excess of $13.1 billion. The FMCG market is set to tripple from
$11.6 billion in 2003 to $33.4 billion in 2015. The FMCG sector
creates employment for three million people in downstream
activities. A distinct feature of the FMCG industry is the presence
of global players through their subsidiaries (HLL, P&G, Nestle),
which ensures new product launches in the Indian market from
the parent’s portfolio. Demand for FMCG products is set to boom
by almost 60 per cent by 2007 and more than 100 per cent by
2015. Most of the Indian FMCG companies focus on urban markets
for value and rural markets for volumes. Between 1998 and 2000,
overall value growth for FMCG products fell from a robust 25.4
per cent to 7.2 per cent. The slowdown was most acutely felt in
Northern and Western India, where growth rate fell from 29 to 3.9
per cent and from 29 to 4.9 per cent respectively. In the year
2003, the FMCG industry showed a growth of 2.7 per cent
with categories like toothpastes, detergents, and packaged
tea continuing to be in the negative growth rate region. Toilet
soap category, which contributed nearly ten per cent of the
industry sales, showed a recovery and registered 2.7 per cent
growth ov e r 2 0 0 2 . F o r F e b r u a r y 2 0 0 5 , t h e i n d u s t r y
recorded an 8 per cent growth rate, while the moving
annual total (MAT, that is for the 12-month period ended
February 2005) growth was placed at 6.3 per cent. The survey
released by FICCI estimated that the industry was poised to
achieve an overall growth between 8 per cent-8.5 per cent
in 2005-06, up 2-2.5 percentage points over the growth
rate clocked in the previous year.
Toilet Soap Category – A View
The size of the personal wash products is estimated at $989 Million.
The toilet soap industry is divided into segments like Premium,
Popular, Discount and Economy based on unit price. While the
overall personal wash market is growing at one per cent, the
premium and middle-end soaps are growing at 10 per cent. Toilet
A Quarterly Journal
53
soaps, however, are dominated by the large-scale units with
leading players like HLL, Nirma, Godrej Soaps and Reckitt
and Colman; the leading brands include Hamam, Lifebuoy,
Pears, Nirma, Cinthol, Mysore Sandal, Liril, Dove and Lux.
The toilet soap industry witnessed single digit growth rate
from 1996 onwards with 1998 showing the lowest among
the recent times (1.8 per cent). From 1999-2003, the
categories have struggled with growth rate and toilet soaps
category managed to be positive growth rate regime (1.1
per cent) against the FMCG growth of 4.4 per cent. Toilet
soaps contributed nearly 10 per cent of Rs.47, 800 crores
during 2002-03. The Rs.4,350-crore toilet soap market grew
by around 4.5 per cent in April 2003 after de-growing for almost
two years at a stretch. In 2004-05, the toilet soap segment
grew at six per cent and in 2005-06 it was expected to
reach 14 per cent as per the FICCI survey.
Rationale of the Study
Indian rural markets are highly heterogeneous and could be
considered as an unexplored hinterland in terms of market potential
and consumer characteristics. A farmer in rural Punjab is considered
as more progressive than fellow farmers in Bihar, and Karnataka’s
farmers are better educated than the ones in Rajasthan. In urban
consumer’s decision processes, mostly all of the family members
are involved, including the children, whereas, due to lack of mobility
and exposure among women, men in rural places make most of
the purchases. This is particularly at very high levels in states like
Bihar, Uttar Pradesh, Madhya Pradesh and Orissa (The Marketing
Whitebook 2003-04). When Kurt Salmon Associates’ (KSA) Indian
arm, KSA Technopak conducted its first rural consumer outlook in
the year 1999, it was found that unlike the urban counterparts, rural
consumers do not distinguish between occupational and
personal spending. Personal care products occupied fifth rank
of the priority for the rural consumers in Tamil Nadu, and in
states like Maharashtra and Punjab it is occupied higher priority
levels.
The success of a brand in the Indian rural market is as
unpredictable as rain. In particular, it has always been difficult to
gauge the rural markets. Many brands, which should have been
successful, have failed miserably (Anugrah Madison). FICCI
Survey (2003) offered insights into the dynamics of growth in
the competitive market environment and foresaw that future
growth for the Corporate India would come from newer segments
such as the youth and through increased rural and small town
penetration of the products and services. Rural retailers are
disadvantaged due to geographic isolation, unfavourable cost
structures and restricted population catchments and support
services from the firms, which consequently make their trading
conditions inefficient and highly pressured by keeping limited
product line and stock keeping units (SKUs) (Paddison and
Calderwood 2007). This is resulted in limited product/brand
reach in rural places. Choe et al (2004) worked on new food
products consumption by Indian consumers and concluded
that subjective norms had greater influence on Indian
consumers’ attitudes, intention to buy, and actual purchase
behaviour and confirmed that Indians’ collective social views
strongly influenced their attitudes towards and purchase
behaviour of new food products.
Positioning can also differentiate brands on the basis of
attributes or image, associate them by highlighting similarities
between market competitors, or focus consumers on a
promotional price of an adver tised brand. A par ticular
positioning strategy could alter the beliefs about the sponsor ’s
attributes or the price consumers are willing to pay for the
brand (Kalra and Goodstein 1998). Rural consumers showed
willingness to pay additional secondary costs to travel
distances far to shop for getting quality products (Choe et al
1997). Thus quality of the product purchased can no longer
be ignored by the marketers and the rural consumers are
seeking value for money proposition when they make
purchases. Sullivan and Savitt (1997) work on identifying the
store patronage and psychographic factors associated with
rural grocery shoppers indicated that price was considered
to be an impor tant factor in deciding shopping pattern. Rural
consumers are more likely to do comparison-shopping to
negotiate over the price; due to differences in living standards;
between rural and urban, rural consumers are concerned about
product prices than urban ones (Sun and Wu 2004).
Broadbridge and Calderwood (2002) studied the shopping
habits of residents of rural communities in Scottish context
and suggested that they were not always buying cheaper
brands and liked to get things on offer.
It is reported that prior to trial stage, brand name increases the
consumers’ perception of experience and credence attribute
performance evaluations (Srinivasan and Till 2002). It is expected
that the benefits of positive initial evaluations may be carried over to
repurchase situations (Mattila, 1997). In store, promotions and
advertising have not found good reach in rural places and lack of
A Quarterly Journal
54
functional alternatives for retail outlets decreases the chances of
rural consumers to be exposed to various marketing promotions
(Sun and Wu 2004).
One of the key elements among them in influencing the current
purchase is the effect of previous purchases. The effects of
previous purchase therefore should be positive (Deighton et al
1994). It is confirmed that both overall satisfaction and
repurchase intentions are affected asymmetrically by attributelevel performance and disconfirmation (Mittal 1998). Ganesan
and Venkatesakumar (2003) study on Brand Switching among
the Rural Consumers suggested that brand switching improved
the overall satisfaction, price and quality perceptions but failed
to improve the perceptions related to promotional measures
and adver tisement suppor ts.
Moreover, mixed feelings toward a product exist because a
consumer may be satisfied with one attribute but dissatisfied
with another (Mittal et al 1998). Ultimately, any successful
brand forges a special relationship with the consumers
through its unique combination of perceived attributes (Dyson
et al 1996). It was found that rural consumers were generally
situated at lower levels of hierarchy of needs than their urban
counterpar ts do (Sun and Wu 2004) and less likely to do
attribute evaluations due to constrained availability and
choices.
Thus the current study aims to develop perceptual maps
for overall satisfaction levels, price and quality factors for
the various brands of toilet soaps, par ticularly for the rural
markets, which are constrained by physical distribution
as well as communication and where ver y limited effor ts
were taken in the past par ticularly for r ural consumers.
Methodology
The data were collected from the rural consumers of
Kanchipuram district, Tamil Nadu. Nearly 600 respondents were
contacted through field survey with a structured questionnaire.
To record the post-purchase analysis/reactions of the
consumers, the scale used by Ganesan and Venkatesakumar
(2003) for brand switching among the rural consumers was
adopted (Cronbach’s alpha of 0.780). The 21-items scale
showed Cronbach’s alpha coefficient of 0.712. The study is
an attempt in exploring the rural consumers’ purchase process,
and normally for a preliminary research, recommended alpha
55
level of 0.7 (Nunnally 1978), the same has been used as
criterion in this study.
Correspondence analysis is an interdependence technique
(Yavas 2001; Hair et al 2005). The objective of the
correspondence analysis is to portray data geometrically in
low-dimensional space. The technique relies upon a singular
value decomposition of a matrix of chi-square distance. The
decomposition generates eigenvalues and eigenvectors that
are applied to row and column distance matrices. This in turn
produces the interpoint distances for mapping. The
correspondence table is a cross-tabulation of the row variable
by the column variable. The active margins show the category
totals for the row and column variables used in the analysis. In
the current analysis, top ten brands based on the usage
frequency were considered, which amply represented brands
from Economy, Popular and Premium segments.
Findings and Discussion
From the 600 respondents, after a careful screening
process, 502 usable responses were considered for
the analysis. Out of the 502 respondents, 55 per cent
are male respondents and 45 per cent female
respondents. Monthly family income is a positively
skewed distribution with mean income of INR 9118.5
per month (σ= INR 7375.68). Correspondence Analysis
is predominantly used to identify the positioning of
the brands.
Table –1 Correspondence Table for Price
Price (current brand)a
Current Brand
Very Low
Low
Normal
High
Very High
Active Margin
Hamam
6
11
63
49
28
157
Lux
2
7
29
29
11
78
Pears
0
1
17
28
6
52
Lifebuoy
1
7
23
11
1
43
Mysore Sandal
1
1
11
20
6
39
Cinthol
1
1
13
17
6
38
Dove
0
1
5
21
4
31
Power
3
3
9
12
1
28
Medimix
0
1
11
6
4
22
Liril
0
0
2
10
2
14
203
69
502
Active Margin
14
33
183
a 36 degrees of freedom
Chi-square statistic = 63.017
Sig. = 0.004
A Quarterly Journal
56
Table –2: Summary of Correspondence Analysis for Price
Proportion of Inertia
Dimension
Singular
Inertia
Value
Accounted
Cumulative
for
Confidence Singular Value
Standard
Deviation
1
0.282
0.079
0.633
0.633
0.040
2
0.162
0.026
0.209
0.842
0.042
3
0.129
0.017
0.133
0.974
4
0.057
0.003
0.026
1.000
0.126
1.000
1.000
Total
(a) Perceptual Mapping – Current brand usage vs. Price
The correspondence table for price (Table -1) shows the
price perceptions of consumers for various brands used by
them. For example, nearly 50 per cent of users of Hamam
brand and Lux perceived the price is high or very high and
brands like Pears, Mysore sandal and Cinthol, nearly 60
per cent of the brand users perceive price as high/very high.
The summary table (Table-2) shows whether there is any
relationship between the row and column variables, and how
many dimensions are needed to display this relationship. The
singular values are measures of association by dimension
between the row and column variables, with larger values
indicating stronger relationships and in the current study, the
larger values (0.282 and 0.162) indicate strong relationship
between Price perceptions and brands used by the
consumers. The squares of the singular values equal the
iner tias, which are sum able over dimensions. The first two
dimensions accounted to nearly 84.2 per cent of the
propor tions, and for make the interpretation easier, a
2 -Dimentional solution is used in the study. Thus the
Correlation
0.076
is no relationship between the row and column variables” (It is
equal to the total inertia times the total number of objects).
Since the significance is small (i.e., less than 0.05), it can be
safely claimed that there is a relationship between the row and
column variables. That is, the significant chi-square value (Chisquare statistic = 63.017 Sig. = 0.004) indicated that there is a
relationship between the brand usage and opinion on price
factor for the rural consumers (Table -1 & Table – 2).
From the perceptual map (Picture-1), we could identify that
against the price ratings of ‘Low’ and ‘Very Low,’ the newly
introduced brand ‘Power ’ occurred with ‘Lifebuoy’ nearby.
These two brands are priced in the range of rupees eight to
r upees ten for 100g packs. Par ticularly, Lifebuoy price
perceptions are nearer to the ratings of ‘Low’ and ‘Power’ is
nearer to ‘Very Low.’ The consumers perceived these two
brands’ prices are relatively lower. This will be a positive signal
for the firms that still there are opportunities for them to increase
the price marginally and can develop their promotional actions
price based. However there are chances that the price game of
one brand might affect the performance of the other brand or
its variants.
correspondence procedure, which aims to simplify the data
structure, accounted or reflecting nearly 84 per cent of the
original characteristics of the data considered for analysis, which
is fairly a high level of fitting for the data. The chi-square statistic
is a suppor tive tool used to test the null hypothesis that “there
A Quarterly Journal
Hamam and Lux are perceived to be ‘normally ’ priced. The
popular segment brands, Hamam and Lux are priced about
Rs.14/100g and the consumers rated the price as normal.
This is also a positive sign for the firms that a brand priced
57
Picture – 1: Perceptual Map for Price Perceptions
Row and Column Points: Symmetrical Normalization
POWER
1.0 -
Very Low
Dimension 2
Low
LIFEBUOY
0.5 -
High
0.0 -
LUX
DOVE
LIRIL
PEARS
MYSORE SANDAL
Neutral (Normal)
CINTHOL
HAMAM
-0.5 -
ME D I M I X
-1.5
-1.0
Ver y High
0.5
0.0
-0.5
1.0
1.5
Dimension 1
about Rs.14 not considered very high. It could also be viewed
as these two brands are Value for Money brands, and
consumers perceived the price as not high/very high. Brands
like Pears, Dove, Mysore Sandal, Liril and Cinthol are near by
the ‘High’ price perceptions. But the brand Liril, which is
considered as popular segment brand perceived on par with
the price perceptions of brands like Dove and Pears and it is
an indication that the brand is perceived as over-priced rather
than normal. Any price increase might affect its market share
and price off may deliver the results in the shor t run that the
consumers might try to take advantages of the price
promotions. The brand ‘Medimix’ is considered very high on
price factor. The brand is currently in the price bracket of
Rs.13 to Rs.18. It suggests that the firm has to take appropriate
actions to change the price perceptions. In par ticular, since
the brand has positioned itself in medicinal value platform,
A Quarterly Journal
it needs to reinforce its Unique Selling Proposition to
change the price related perceptions.
The findings reflect the perceptions generated or
evaluated by brand usage on price and not based on any
other sources of information. Product category like toilet
soaps, where consumers have oppor tunity to purchase
frequently, and use it for a longer period and longer
association with the product category as such, this price
perception could be viewed as a resultant of evaluations
over a period of time rather than one time affair. The
marketers need to place major effor ts on ensuring
performances on attributes like quality and safety related
issues and should create an impression that the brand
stands for the value for the money spent by the
consumers.
58
(b) Perceptual Mapping – Current Brand
Usage vs. Quality
Th e q u a l i t y p e r c e p t i o n g i v e s a c o m p l e x p i c t u r e f o r
the decision makers. As far as quality dimension is
concerned, the brands are not clearly positioned by
the rural consumers. This could also be considered
as dangerous to the branding that all the brands,
irrespective of their price or positioning, were viewed
to be very similar in their quality. The firms, which want
to develop clear positioning strategies, need to work
on this issue, or it is giving an oppor tunity for the
marketers to create a niche positioning which is so
far untapped. On the other hand, as far as toilet soap
segment is concerned, since quality is perceived to
be high for all the brands, many of the price based
promotional measures may work effectively, provided
if the brand matches the consumers’ expectations
on other factors/attributes. This would lead to price
war in the category and profits will shrink
subsequently. Bigger firms might withstand the price
wars, but regional niche players will be affected very
severely.
As far as Quality Perceptions are concerned, more than 70
per cent of the consumers of the respective brands perceived
their brand’s quality as high/ver y high (Table-3). Thus
irrespective of the price range, the brands are rated high on
the quality aspects. This is a positive sign for the respective
firms that their brand (s) is perceived with higher quality, and
this will develop longer associations with the respective
brands. But, to bring consumers from the competitors, the
firms need to work hard.
The 2-dimensional mapping accounted nearly 84 per cent
of the variance in the data. But the chi-square statistic
(33.335, p>0.01) is not statistically significant. Since the
significance is larger than 10 per cent, it is claimed that
there is no relationship between the row and column
variables. Hence, the non significant chi-square value
indicated that there is no relationship between the brand
usage and opinion on quality factor.
Table – 3: Correspondence Table for Quality
Quality (current brand)a
Current Brand
Very Low
Low
Hamam
3
9
Lux
0
Pears
Neutral
(Normal )
High
Very High
Active
Margin
12
75
56
155
6
17
37
18
78
0
0
6
28
18
52
Lifebuoy
0
1
7
20
15
43
Mysore Sandal
0
2
4
19
16
41
Cinthol
0
2
3
22
11
38
Dove
0
2
6
12
11
31
Power
0
3
5
16
4
28
Medimix
0
1
3
11
7
22
Liril
0
0
2
7
5
14
Active Margin
3
26
65
247
161
502
Chi-square statistic- 33.335
Sig. = 0.596
A Quarterly Journal
59
Table – 4: Summary of Correspondence Analysis for Quality Perceptions
Dimension
Singular
Value
Inertia
Accounted
for
Confidence Singular
Value
Standard
Correlation
Deviation
Cumulative
1
.195
.038
.576
.576
.042
2
.131
.017
.261
.837
.033
3
.090
.008
.124
.960
4
.051
.003
.040
1.000
.066
1.000
1.000
Total
-.008
Picture – 2: Perceptual Map for Quality Perceptions
Row and Column Points: Symmetrical Normalization
3-
Current Brand
Ver y Low
Low
POWER
2-
Dimension 2
Quality (Current Brand)
HAMAM
CINTHOL
Hi g h
LUX
DOVE
1Ver y High
Neutral (Normal)
MYSORE SANDAL
PEARS
0-
LIFEBUOY
LIRIL
-1 -2.5
-2.0
-1.5
-1.0
-0.5
MEDIMIX
0.0
0.5
1.0
Dimension 1
Dimension
D
i m e n s i o n 11
A Quarterly Journal
(c) Perceptual Mapping – Current Brand Usage and
Overall Satisfaction
The correspondence table for overall satisfaction (Table -5)
revealed that many of the brands delivered satisfaction than
the expected levels. But nearly one third of the consumers
are not happy with overall satisfaction levels of their
respective brands.
The summary table-6 shows whether there is any relationship
between the row and column variables, and how many
dimensions are needed to display this relationship. The
first two dimensions accounted nearly 72 per cent of the
variance in the data and make the interpretations easier; a
2-Dimentional solution was derived. The chi-square
statistic (Chi-Square statistic = 58.603, p<0.05) which
60
was significant, reflects that there is a relationship
between the overall satisfaction levels and brand usage.
Thus, as far as overall satisfaction of the brand’s
per for mance is concer ned, there are cer tain brands not
performing against the consumers’ expectations which
might result in brand switching.
From the perceptual map, one can infer that brands like Lux
and Power are not rated highly by the respondents on the
overall satisfaction measure. Particularly ‘Power ’ received very
poor ratings along with Lux. However, the brand Lux, which
was rated as normally priced, better on quality perceptions,
but was not delivering to the expectations of the consumers.
Medimix and Lifebuoy are in the marginal satisfactory levels.
Medimix is perceived very high on price along with the
premium brands like Dove and Pears. By reinforcing the USP or
Table – 5 Correspondence Table for Overall Satisfaction
Overall I am satisfied with the brand’s performance a
Strongly
Current Brand
Disagree
Disagree
Strongly
Active
Neutral
Agree
Agree
Margin
Hamam
13
7
22
50
60
152
Lux
10
11
13
31
17
82
Pears
0
4
8
20
20
52
Lifebuoy
5
1
12
13
12
43
Mysore Sandal
2
2
6
17
14
41
Cinthol
1
3
6
10
17
37
Dove
1
0
0
21
9
31
Power
3
4
3
8
10
28
Medimix
3
1
4
5
9
22
Liril
1
1
1
3
8
14
34
75
178
176
502
Active Margin
39
Chi-square statistic = 58.603
Sig. = 0.010
A Quarterly Journal
61
Table – 6: Summary of Correspondence Analysis for Overall Satisfaction
Dimension
Confidence Singular Value
Singular
Value
Inertia
Accounted
for
1
0.218
0.048
0.412
0.412
0.036
2
0.188
0.035
0.306
0.718
0.043
3
0.145
0.021
0.183
0.901
4
0.107
0.011
0.099
1.000
0.115
1.000
1.000
Total
Cumulative
Standard
Deviation
Correlation
0.133
Picture -3: Perceptual Map for Overall Satisfaction
Row and Column points Symmetrical Normalization
LUX
0.6 -
Disagree
DOVE
Agree
Dimension 2
Strongly Disagree
0.3 -
POWER
MYSORE SANDAL
0.0 PEARS
0.3 -
LIFEBUOY
Neutral
MEDIMIX
0.6 -
HAMAM
CINTHOL
Strongly Agree
LIRIL
-1.0
Current Brand
A Quarterly Journal
-0.5
0.0
0.5
DIMENSION 1
1.0
1.5
Overall I am satisfied with the brand’s performance
repositioning or by appropriate communication strategies,
‘Medimix’ could create better expectations among the
consumers. Hamam, Pears, and Mysore Sandal are rated higher
on satisfaction levels. Cinthol is rated very high in terms of
satisfaction levels. Except Hamam, rest of the brands are
perceived high on price front.
Hence, we suggest that the findings should be viewed along
with the issues rural consumers typically face with, making their
choices with complete and easily comparable information on
some attributes but only par tial (or difficult to compare)
information on other attributes (Kivetz and Simonson 2000).
Overall satisfaction might be a combination of easily and partially
comparable attributes performance. Moreover, by adoption of
a longitudinal perspective on how quality perceptions evolve, it
is also possible to establish that attributes asymmetrically
influence satisfaction with product quality and factors used to
form the perceptions early in the ownership experience become
less important (or vice versa) over time (Slotegraaf and Inman,
2004). The findings suggest that the marketers should have a
continuous monitoring for their brands based on how the
attributes’ importance shifts over a period.
The perceptual maps developed gives a starting point for the
marketers to understand the rural consumers in terms of price,
quality and overall satisfaction levels. In the price front, there is a
clear clustering of brands evident from the perceptual map. It is
proved that some consumers may search shelf prices for a small
number of regularly purchased brands but are mainly passive
information receivers for the remaining brands (Bronnenberg
and Vanhonacker, 1996). Moreover, it is proposed that for every
consumer, brands in one price range may be more salient than
brands in others and support that price as a tool in differentiation.
To compete successfully in a value-conscious environment,
sellers must stress the value of their offerings. Sellers can increase
acquisition value perceptions by enhancing buyers’ perceptions
of the product’s quality or benefits relative to the selling price.
Price is less likely to have a significant effect on buyers’
perceptions of quality in the presence of other attributes and
when buyers are familiar with the product or product category
(Grewal et al 1998). The study on the relationships among product
familiarity, objective quality, price and perceived quality in a
product class shows that there is a strong market correlation
between price and objective quality (Moorthy 1993). A brand’s
positioning on quality reflects the extent to which a manufacturer
attempts to convey to consumers that the brand has superior
A Quarterly Journal
62
ability to perform its functions. Manufacturers of brands
positioned near the low end of the quality continuum are
expected to rely on numerous retailers in each trade area to
promote convenience and competitive pricing for their
customers (Frazier and Lassar, 1996).
The marketers need to carefully develop quality positioning
for their brands since customer satisfaction is more qualitydriven than value or price-driven. One of the determinants of
overall customer satisfaction is perceived value, or the
perceived level of product quality relative to the price paid
(Fornell et al 1996). From the perceptual maps (Picture -1 and
Picture–3) of price and overall satisfaction, it is clearly
indicated that brands that deliver higher satisfaction, the
consumers feel the prices to be higher as well. The marketers
fail to translate the price positioning in terms of quality or
value for money positioning.
Managerial Implication
One of the key findings of the research work is lack of
perceived positioning of various toilet soap brands by the
rural consumers, par ticularly in quality factor and nearly onethird of the consumers are not satisfied with quality aspects.
The price positioning might lead to a price war by the firms
which are taking place in the recent times, where firms started
concentrating more on promotional and price front in selling
the brands; it is common nowadays that 2+1 bundle offer
for many brands are offered including the premium category
brands like Dove and Pears. This would force the consumers
to switch the brands more often and for the firm, it would
lead to increase in the promotional budget, cost measures
and ultimately lower the profitability. Particularly rural markets,
which are very tiny and fragmented and cost of physical
distribution as well as media are likely to be on the higher
side. There is a definite need to create quality positioning for
the brands as a long-term strategy.
Conclusion
The perceptual maps give a clear insight about how various
brands are positioned in the Indian subcontinent. One of the
major aspects to be considered with attention is that in the
price-quality-satisfaction relationships, the marketers are yet
to clearly create any measures in quality dimensions. The
consumers perceive higher satisfaction to come with higher
price. It also gives a suggestion for the marketers in creating
suitable communication mix in crafting quality aspect as a
predominant positioning strategy in the long term, rural
63
Ganesan, P. and Venkatesakumar, R. “Brand Switching: A Study
of Rural Consumers.” Udyog Pragati – The Journal for
Practising Managers, 27 (2): (2003): 36-40.
market.
References
Broadbridge, A . and Calder wood, E. “Rural Grocer y
Shoppers: Do Their Attitudes Reflect Their
Actions?” International Journal of Retail and
Distribution Management. 30 (8) (2002): 394 – 406.
G o p a l a s w a m y , T. P. R u r a l M a r k e t i n g : E n v i r o n m e n t ,
Problems and Strategies. New Delhi: Wheeler
Publishing, 1997.
Grewal, D., Monroe, K.B., and Krishnan, R. “The Effects of
Price- Comparison Adver tising on Buyers’
Perceptions of Acquisition Value, Transaction Value,
and Behavioural Intentions.” Journal of Marketing. 62
(2): (1998): 46-60.
Bronnenberg, B.J., and Vanhonacker, W.R . “Limited Choice
Sets, Local Price Response and Implied Measures
of Price Competition.” Journal of Marketing
Research. 33 (2): (1996): 163-174.
Choe, S.T., Pitman, G.A ., and Collins, F.A . “Proactive retail
strategies based on consumer attitudes towards
the community.” International Journal of Retail and
Distribution Management. 25 (11) (1997): 365-371.
Choo, H., Chung, J., and Pysarchik, D.T. “Antecedents to
New Food Product Purchasing Behaviour among
Innovator Groups in India.” European Journal of
Hair, J.F., Anderson, R .E., Tatham, R . L and Black, W.C.
Multivariate Data Analysis. Delhi: Pearson
Education, 2003. <http://www.ibef.org>.
Kalra, A ., and Goodstein, R.C. “The Impact of Adver tising
Positioning Strategies on Consumer Price Sensitivity.”
Journal of Marketing Research, 35 (2) (1998): 210225.
Kivetz, R., and Simonson, I. “The Effects of Incomplete
Information on Consumer Choice.” Journal of
Marketing Research. 37 (4) (2000): 427-449.
Marketing. 38 (5/6) (2004): 608-625.
Deighton, J., Henderson, C.M., and Neslin, S.A . “The effects
of adver tising on brand switching and repeat
purchasing.” Journal of Marketing Research. 31 (1):
(1994): 28-44.
D y s o n , P. , Fa r r, A . , a n d H o l l i s , N . S . “ U n d e r s t a n d i n g ,
Mattila, A .S. “The Role of Accessibility of Prior Judgements in
Biasing Consumers’ Post-purchase Evaluations and
Behaviour.” Asian Journal of Marketing. (December):
(1997): 23-39.
Mittal, B. “Must Consumer Involvement Always Imply More
Information Search?” Advances in Consumer
Research. 16 (1989): 167 – 172.
Measuring, and using Brand Equity.” Journal of
Adver tising Research. 36 (6): (1996): 9-22.
Fornell, C., Johnson, M.D., Anderson, E.W., Cha, J., and Bryant,
B.E. “The American Customer Satisfaction Index:
Nature, Purpose and Findings.” Journal of Marketing.
60(4) (1996): 7-19.
Mittal, V., Ross, W.T., and Baldasare, P.M. “The Asymmetric
Impact of Negative and Positive Attribute – Level
Performance on Overall Satisfaction and
Repurchase Intentions.” Journal of Marketing. 62
(1) (1998): 33-48.
Moor thy, K.S., “Theoretical Modeling in Marketing.” Journal
of Marketing.57 (2) (1993): 92-107.
Frazier, G.L. and Lassar, W.M. “Determinants of distribution
intensity.” Journal of Marketing.” 60 (4) (1996): 3952.
A Quarterly Journal
Nunnally, J.C. Psychometric Theor y. New York: McGraw
Hill Book Co., 1978.
Paddison, A ., and Calder wood, E.C. “Rural retailing: a
sector in decline?” International Journal of Retail
and Distribution Management. 35 (2) (2007):
136-155.
“PricewaterhouseCoopers.” Fast Moving Consumer Goods.
New Delhi: IBEF, 2005.
Slotegraaf, R.J., and Inman, J.J. “Longitudinal Shifts in the
Drivers of Satisfaction with Product Quality: The
Role of Attribute Resolvability.” Journal of Marketing
Research. 41 (3): (2004): 269- 281.
Srinivasan , S . S . , a n d T i l l , B . D . “ E v a l u a t i o n o f S e a r c h ,
Experience and Credence Attributes: Role of
B r a n d N a m e a n d P r o d u c t Tr i a l . ” J o u r n a l o f
Product and Brand Management. 11 (7) (2002):
417 – 31.
Sullivan, Pauline and Savitt, R. “Store Patronage and
Lifestyle Factors: Implications for Rural Grocery
A Quarterly Journal
64
Retailers.” International Journal of Retail and
Distribution Management, 25 (11) (1997): 351364.
Sun, T. and Wu, G. “Consumption Patterns of Chinese Urban and
Rural Consumers.” Journal of Consumer Marketing, 21
(4): (2004): 245-253.
The Federation of Indian Chambers of Commerce and
Industry (FICCI). A Report on FMCG Industry. New Delhi.
The Marketing Whitebook: 2003-04. New Delhi: Businessworld,
2004.
The Marketing Whitebook: 2005. New Delhi: Businessworld,
2005.<www.ksa-technopak.com>.
Yavas, Ugur. “Patronage Motives and Product Purchase
Patterns: A Correspondence Analysis.” Marketing
Intelligence and Planning, 19 (2): (2001): 97-102.
65
Interactivity and
Advertising:
A Conceptual Framework
Vinod Kumar Singh, Amit Pandey and Vinay Pratap
Mass communication has seen many revolutions since the beginning of advertising. All these modes of communication
were one to many, impersonal forms of communication. This left nothing for the receiver of the message to do. The
receiver was a mute spectator, and could not communicate his thoughts to the sender of the message. This left a
wide gap between the exposure to the communication and the behavioural implication it was aimed at. This gap
between communication and action increased the communication cost for organization and also left the receivers
at the mercy of other organizations’ fighting for the same behavioural action in their favour. With the advent of internet
and its spread across sections of societies throughout the world it has now become possible for organizations to
interact with the audience. The interactivity of internet makes it a viable tool for seeking immediate action from the
receiver of the message. This paper tries to develop on the concept of interactivity and its implications in the
modern societies. In this paper the authors have tried to explain the concept of interactivity, and its present day
use in communicating with empowered audiences. This paper explains the concept of interactivity and the
variables that define its success. These variables such as number of inputs, number of characteristics, speed of
interactions, etc., are very important for the success of any interactive communication with audience. In the end
certain questions have been raised for further study and research.
M
any new channels of mass communication were
co n s u m e r s h a v e d e v e l o p e d a m o r e s o p h i s t i c a t e d
d e v e l o p e d d u r i n g t h e l a t t e r p a r t o f t h e 2 0 th
understanding of the mass media and of adver tising (Campbell,
century, exposing
2000). All of this creates
a greater challenge for
the public to an ever increasing
adver tisers, and all media
number of mediated messages
producers, to attract
(Clocking Clutter, 2000;
attention, especially
Fitzgerald, 1999; Lombard et
thoughtful attention, to
al., 1997; Shales, 1994). Every
their messages.
day, citizens are faced with
h u n d r e d s o f adver tising
In responding to this
appeals delivered v i a
challenge much advertising
D r. V i n o d K u m a r S i n g h , R e a d e r, H e a d a n d D e a n , F a c u l t y o f
television,
magazines,
has become more colourful,
M a n a g e m e n t S t u d i e s ( F M S ) , G u r u k u l K a n g r i U n i v e r s i t y, H a r i d w a r,
newspapers, billboards,
more vibrant, bigger, fasterEmail: [email protected]
di r e c t m a i l s o l i c i t a t i o n ,
paced, louder, and more
e - mail spam, World Wide
Mr.Amit Pandey, Regional Training Manager, TATA AIG Life Insurance Co.
obnoxious (in fact it is the
Ltd., Shalimar Cour t, 1st Floor, 5, Rani Laxmi Bai Marg, Near Kaiserbagh
Web banners and pop-up
“quiet” ad which stands
Telephone Exchange, Lucknow, email: [email protected]
boxes, and more. As a
out from the others
result of exposure to these
because it is so rare).
M r. V i n a y P r a t a p , Fa c u l t y, I c f a i B u s i n e s s S c h o o l , C - 1 / 1 0 1 , I n d i r a
Although this trend has
messages, some argue that
N a g a r, D e h r a d u n , E m a i l : v i n a y b p s @ g m a i l . c o m
A Quarterly Journal
been associated with television advertising, the same thing
seems to be happening on the World Wide Web (Geller, 2001).
While the “aggressive, more is better ” approach may succeed in
the short run, it is likely to fail in the long term as consumers
habituate to the new style and learn to ignore even the most
aggressive messages (Elliot and Speck, 1998; Ha, 1996). A more
promising approach takes advantage of new technological
possibilities to provide a new kind of advertising experience, a
customized and personalized one (Fitzgerald, 1999; Johnson,
2000). This goes beyond designing the content of messages to
target specific demographic and psychographic groups. The
notions of personalization and control, mentioned in the
definitions of advertising above, are central to this new trend.
The Changing Nature of Advertising
Traditionally adver tising has been defined as “a for m of
controlled communication that attempts to persuade
consumers, through use of a variety of strategies and appeals,
to buy or use a par ticular product or service” (Defleur and
Dennis, 1996, p. 564) and relatedly, “paid nonpersonal
communication from an identified sponsor using mass media
to persuade or influence an audience” (Wells, Burnett, and
Moriarity, 1998, p. 13). But it is becoming abundantly clear that
although the central goal of advertising is still the same to
persuade consumers to purchase a product or service - the
media environment into which advertising is placed is changing,
and as a result of this trend, the nature of advertising is changing
as well.
The Internet and other interactive technologies make
it possible to create ads that are not only more
t a r g e t e d , b u t m o r e p e r s o n a l , i n which advertising is an
experience in which the consumer participates and is engaged.
Thus, the model of advertising as communication that is nonpersonal and controlled exclusively by the sponsor seems to
be evolving into one in which advertising is personal and
interactive.
Interactive adver tising gives consumers more control by
giving them a range of choices in their experience with
product information. And it produces a sense that the
communication is more personal than traditional media
ads because it creates or simulates a one-on-one
interaction. Johnson (2000) characterizes the future of
consumer marketing this way: “Consumers, in receiving
marketing messages or doing e-business, will expect to
be treated as individuals, with their preferences catered
A Quarterly Journal
66
to. Why would consumers or adver tisers put up with
the ‘spam’ of a network TV commercial or magazine ad
when they can interact one-on-one?”
Internet: The New Interactive Media
Cutler (1990) defines the new interactive media as media
that provide the oppor tunity to instantaneously adver tise,
execute a sale, and collect payment. With the advent of
the Internet and other technologies, the interaction
between and among consumers and marketers is becoming
increasingly more pronounced. Consumers can collect and
provide information by searching and navigating through
commercial Web sites, they can post and customize their
preferences, and they can communicate with other
consumers as well as product and service providers.
Similarly, marketers can use information obtained from
consumers to customize their adver tisement messages,
to segment their audiences, to facilitate consumer search
for selected types of information and products, and to
collect information about consumers’ preferences to
improve future products and services. Moreover, marketers
can potentially provide consumers with a more enjoyable
experience by offering such services as information,
enter tainment, customer ser vice and technical suppor t
through e-mail, Web sites, live operators, and soon via
video-conferencing.
Use of interactive adver tising through new media such as
the Internet, also draws attention to the contrast between
traditional assumptions about adver tising and its effects
and the realities of communication in the market place.
Traditional approaches to adver tising practice and research
implicitly assume that adver tising is something the firm does
to the consumer. Interactive adver tising makes it clear that
this is a ver y limited view of adver tising and highlights the
need to understand what consumers do to adver tising.
The reasons consumers seek for information, self-select
information for attention, process and use of information,
and response to information are critical for understanding
the effects of adver tising and for designing measures of
adver tising effectiveness in an interactive context. Selfselection of both the sources from which information may
be obtained, and the way this information is processed, is
an increasingly impor tant determinant consumer behaviour.
Market information systems that fail to consider the impact
of customer control of information will, at best, be
incomplete, and potentially misleading.
Understanding Interactivity
Interactivity is an “overused and under-defined concept,”
Heeter (2000). Unlike comprehension, no consensual definition
of interactivity exists. Rafaeli’s (1988) interpersonal view of
interactivity was one of the first definitions to be applied to
“new media.” Since then, several scholars have elaborated
and explicated the definition. Derived from previous studies
and based primarily on Hoffman and Novak (1996) and Ha and
James (1998), the definition used in this study is: interactivity
is the state or process of communicating, exchanging,
obtaining and/or modifying content (e.g., ideas, entertainment,
product information) and/or its form with or through a medium
(e.g., computer, modem, etc.) which responds to both the
communicator ’s and the audience’s communication needs
by including hyper text links, reciprocal communication, etc. In
other words, a person can “interact” on the Web in two general
ways: get or give information from/to the Web (e.g., surfing,
researching, etc.) or communicate to another person through
the medium (i.e., e-mailing, chat rooms, etc.).
Heeter (1989) offered seven observations about interactivity
in emerging media systems:
1.
Information is always sought or selected, not merely
sent.
2.
Media systems require different levels of user activity.
(Users are always active to some extent).
3.
Activity is a user trait as well as a medium trait. Some
media are more interactive than others; some receivers
are more active than others.
4.
Person-machine interactions are a special form of
communication.
5.
Continuous feedback is a special form of feedback in
which behaviour of all users is measured on an ongoing
basis by a source (e.g. videotex system) or gate-keeper
(e.g. cable operator).
67
tw o - w a y c o m m u n i c a t i o n s y s t e m f r o m s e n d e r s t o
receivers. However, such a definition of interactivity,
which focused on human-to-human communication, was
elaborated by the study of Cho and Leckenby (1999), in
which they included another type of interaction between
human and message in addition to the interaction
between senders and receivers. Therefore, they defined
the ter m, “interactive,” from an adver tising perspective
as “the degree to which a person actively engages in
adver tising processing by interacting with adver tising
messages and adver tisers” (p. 163).
Roehm and Haugtvedt (1999) also suggested the two dimensions
of interactivity in terms of message and control dimensions. Therefore,
they argued that interactivity can be divided into a total of four
dimensions: “customer-controlled and content-oriented interactivity,”
“customer-controlled and form-oriented interactivity,” “marketercontrolled and content-oriented interactivity,” and “marketercontrolled and form-oriented interactivity.” McMillan (2000) also
identified four types of interactivity based on the variation in the
direction of communication and control of the communication
experience. According to her, the direction, time, and place of
communication should be considered as important dimensions
when an individual perceives interactivity in a particular medium.
As a result, she presented the following four types of interactivity:
packaged content (one-way communication with low receiver’s
control), rich content (one-way communication with high
receiver’s control), virtual transaction (two-way communication
with low receiver ’s control), and virtual community (two-way
communication with high receiver ’s control). For instance,
receivers have a relatively limited control over the message that is
provided by the sender in commercial websites (e.g. packaged
content or virtual transaction). On the other hand, the level of
receivers’ control on content is increased in case of search engines
or newsgroups (e.g. rich content or virtual community).
Interactivity is a complex and multidimensional concept and
there is little agreement on a specific set of conceptual and
6.
The distinction between source and receiver is not
present in all media systems.
7.
Media systems may facilitate mass communication,
interpersonal communication, or both.
advanced interactive technologies such as vir tual reality).
Morris and Ogan (1996) defined interactivity as an assumed
attribute of interpersonal communication. According to their
definition, interactivity can be mainly understood as a kind of
context of this discussion; therefore, following Heeter (2000),
A Quarterly Journal
operational definitions related to it (much of the discussion
and debate is recent, prompted by the development of
However, we need to establish an understanding for the
Steuer (1995), and Lombard and Ditton (1997), we define
interactivity as a characteristic of a medium in which the user
can influence the form and/or content of the mediated
presentation or experience. It is not dichotomous (a medium
is not just interactive or not) but can vary in degree (from not
interactive to highly interactive) as well as type (different aspects of
the form and/or content that can be influenced by the user).
The degree to which a medium, or a mediated experience, can be
said to be, and will likely be perceived as, interactive depends on
(at least) five subsidiary variables.
68
Interactivity is enhanced by expanding the degree to which
users can control each attribute of the mediated experience.
For example, in a highly interactive vir tual environment the
user can look out in any direction; move over large distances
in each one; proceed at any pace and in any sequence
desired; pick up, feel, and move many different objects each
with different textures; and change the type and volume level
of ambient sounds. In a different context, the larger the
vocabulary of a computer speech recognition system (i.e.,
The first variable is the number of inputs from the user that the
medium accepts and to which it responds. Biocca and Delaney
(1995) discuss a variety of user inputs, including voice/audio
input (e.g., speech recognition systems that allow a computer to
accept and respond to voice commands), haptic input (e.g.,
television knobs and buttons and computer mice, joysticks,
wands, etc. that record user commands via object manipulation),
body movement and orientation (kinetic) input (e.g., data gloves,
body suits, and exoskeletons that translate body movements into
electronic signals a computer can use to “fit” the user in a virtual
environment), facial expressions and eye movements, and even
psycho physiological input (e.g., heart rate, blood pressure,
muscle tension, skin resistance, and brain waves could be
input to a computer for mood management or enhanced
mediated interpersonal communication); see Biocca and
Delaney (1995) for a complete discussion. The extent to
which each of these media input channels contributes to
interactivity has not been demonstrated.
the more words it recognizes and to which it responds
appropriately) the more interactive is the computer use
experience.
A four th variable is the speed with which the medium
responds to user inputs. The ideal interactive medium
responds in “real time” to user input; the response or lag
time is not noticeable. Although it accepts and responds to
only audio input and uses only a limited frequency range,
the telephone is highly interactive in terms of this criterion
because interactions via telephone seem to occur in real
time (except with calls over exceptionally long distances).
With bandwidth limitations and explosive growth in the
number of users, the issue of response time is an impor tant
consideration on the World Wide Web (of ten derisively
called the World Wide Wait). The computational difficulty of
processing inputs related to the user ’s position can cause
even an advanced vir tual reality system to present images
and sounds that lag quite noticeably behind user
The number and type of characteristics of the mediated
presentation or experience that can be modified by the user also
help determine the degree to which a medium can be called
interactive. Steuer (1995) identifies the dimensions of temporal
ordering (order of events within a presentation), spatial
organization (placement of objects), intensity (of volume,
brightness, colour, etc.), and frequency characteristics (timbre,
colour). Others might include size, duration, and pace. Heeter
(1992) suggests that a highly responsive virtual environment is
one in which many user actions provoke even unnatural
responses (e.g., entering a room produces verbal or musical
greetings or rain). While it remains unclear which modifiable
characteristics are most important, a greater number of the
characteristics should generate perceptions of greater
interactivity.
movements and the problem is recognized as an impor tant
A third variable is the range or amount of change possible in
each characteristic of the mediated presentation or experience.
natural (e.g., turning one’s head in a virtual reality system to see
A Quarterly Journal
one: Heeter (1992) notes that “based on their own
experiences and observations of others,” when forced to
choose between “responsiveness to motion and resolution
of images, [vir tual reality] developers are choosing
responsiveness as the more impor tant factor ” [p. 263]).
See Steuer (1995) and Zeltzer (1992) for fur ther discussion
of the role of response time.
A final variable that may be important for interactivity (and
cer tainly is for presence - see below) is the degree of
correspondence between the type of user input and the type
of medium response. Steuer (1995) suggests that the “mapping”
between these two can vary from being arbitrary (e.g., pressing
a sequence of keys on a keyboard to adjust a visual display) to
the corresponding par t of the environment). Using “our
69
by means of whole-hand input devices” may lead to
not a characteristic of the medium. The medium simply serves
to facilitate the interaction.
perceptions of greater interactivity, and “naturalness,” than
Objectives of Interactive Advertising
familiar sensorimotor skills to manipulate virtual objects directly
“writing programs, twisting knobs, or pushing a mouse to
accomplish the same task” (Zeltzer, 1992, p. 129; see also
Bricken, 1996; Held and Durlach, 1992; Sheridan, 1992).
Defining Interactive Advertising
Defining Interactive Adver tising during the decade of the
nineties appears to reflect a broad-based depiction. Cutler (1990),
taking an exchange perspective, defined Interactive Advertising
as a “media that provides the opportunity to instantaneously
advertise, execute a sale, and collect payment.” Steuer (1992)
recognized the expanded role of the consumer and defined
In general, the goals of interactive advertising tend to be similar to
the traditional objectives of advertising. This means that many of
the traditional measures of advertising effectiveness remain relevant,
even in a world of interactive media. However, interactive advertising
also has some properties that expand the range of potential
objectives and that facilitate the acquisition of traditional measures
of advertising effectiveness. Interactive advertising also has the
potential to lessen the ‘process loss’ associated with
uncoordinated advertising, to reduce the difficulties commonly
encountered in clearly communicating an advertising message and
to help overcome resistance to new products.
interactivity as “the extent to which users can participate in
modifying the form and content of a mediated environment in real
time.” Skuba (1996) suggests that to be truly interactive, the
consumer needs to be deeply involved in a two-way
communication process with the advertiser. Roehm and Haugtvedt
(1999) likened interactivity to a real-time dialogue... [that] “might
resemble conversations between salespersons and customers.”
Finally, Leckenby and Li (2000) provided us with even more broad
definition: Interactive Adver tising is “the paid and unpaid
presentation and promotion of products, services and ideas by
an identified sponsor through mediated means involving mutual
action between consumers and producers.”
These definitions do not limit interactive to just the Internet,
but allows us to include any form of Interactive Adver tising
that seeks “mutual action.” Catalogs, direct response mail,
phone solicitations etc. are included in this wider view and
allow use to use the extant literature, theory, and
methodology to make comparisons across Interactive
Adver tising formats. Arguably one can say that Interactive
Adver tising has been around a long time. The changes we
see today are in the scale, speed and scope of interactivity
as facilitated by the latest communication technologies.
The Journal of Interactive Advertising manuscript guidelines
suggest that Interactive Advertising includes and distinguishes
between “human-machine-human, human-machine, humanmessage, or machine-machine interactivity.” These mechanisms of
At the same time, interactive advertising also has the potential to
increase the efficiency and quality of consumers’ decisions,
increase customers’ involvement and satisfaction, and promote
trust through reciprocity in information exchange, technical
assistance, and reduction of information asymmetry. Finally, marketers
can use feedback from consumers to improve their advertising
message and intended target, and strategically adjust their customer
support, product line, and services provided. Interactive advertising
may also produce greater efficiency, trustworthiness, and quality in
advertising. Thus, interactive advertising has the potential to
fundamentally change the nature of advertising in much the same
way that electronic communication infrastructure has changed the
nature of group interaction (Fulk and Boyd, 1991).
Interactive media of various types not only opens new opportunities
for communication with and among consumers; it also creates
opportunities for creating new measures of consumer response
to such communications, as well as to product offerings and other
marketing initiatives. Interactive media shift control of the information
flow from the marketer to the consumer. This provides many more
options for responding to information than previous forms of
marketing communication, and it is the response of consumers to
these options that provides the basis for new measures of consumer
response. For example, providing consumers with the opportunity
to search for more information about a product, as is done at many
Internet sites, provides an opportunity to monitor the types of
information and products that consumers seek at both an individual
and aggregate level.
communication infer a human-human or human-entity (e.g.
company) relationship. Ultimately it is the consumer’s choice to
interact, thus interactivity is a characteristic of the consumer, and
A Quarterly Journal
To illustrate the power of interactivity, consider the following
scenario: a manufacturer of a product offers a description of a
product concept. Information about this concept can be
obtained by consumers in an interactive environment through
an interactive search of various branching trees of information
offering more and more detailed information about the
product concept. Note that the intensity of search for
information (measured by click through rate) can become a
surrogate for interest in the product. Indeed, because such
search involves deliberate and active decisions by the
consumer, it is likely that measures of the breadth and depth
of information search will be far better predictors of product
interest and eventual purchase behaviour than measures
currently in use.
It is very likely that measures of intensity of information
search bears a strong relationship to product interest and, in
turn, to product purchase. Further, interactive media provide
the oppor tunity for direct customer feedback regarding
product modifications, likes and dislikes, and improvements.
Evaluation of product concepts is but one potential
oppor tunity for using the power of interactive media. By
tracking the types of information users of interactive media
seek it should be possible to determine the information that
consumers find most useful when evaluating a product.
Indeed, examination of the information search patterns of
users of interactive media may inform positioning decisions.
Information provided by the consumer to the marketer can
provide a means for customized offers and customized
advertising. Indeed, fully interactive advertising would provide
the consumer with the oppor tunity to request information,
not simply respond to what is provided by the adver tiser.
While the potential of interactive media is clear, much remains
to be done to realize that potential. For example, numerous
measures of intensity of search for information (click-through
rates) might be constructed which vary in their capacity to
capture the depth and breadth of search. There is also the
important issue of establishing a link between such measures
and more traditional measures of purchase interest and intent.
In addition, new issues arise in the context of interactive
advertising that do not arise, at least to the same extent, in the
context of traditional advertising.
For example, there is the question of whether and when
consumers wish to be engaged by an interactive medium. There
is also the question of how much information consumers are
prepared to provide advertisers or even how much information
consumers are prepared to allow marketers to capture about
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70
the interaction. Finally, there are issues of satiation of response
that arise in the context of measures based on interactive media
that do not arise with more traditional measures. Consumers
have only limited time and resources, and therefore, are unlikely
to be able to sustain large numbers of on-going interactive
relationships.
The Final Question
While there has cer tainly been significant positive press
regarding the role of “interactivity,” there are some experts that
question the singling out of interactive advertising. Consider
these quotes:
♦
“Let’s stop being overly impressed with ‘interactive
marketing.’ It’s a tool. It will be ubiquitous. By 2005,
marketing types will be talking about marketing, not
about things interactive. By 2005, interactive marketing
will be marketing.”
Bradley Johnson, Advertising Age Interactive Media & Marketing
Editor [Advertising Age, April 17, 2000]
♦
“The Web is not the center of our universe. It’s just another
place where consumers go. [We know] consumers are
multitasking-reading, watching TV, going online-and we
want to advertise everywhere they are.”
Nick Bishop, Coca-Cola’s Vice President of Consumer
Connections [Wall Street Journal, December 28, 2000]
♦
“The Internet has changed a lot of things, but the idea that
the dot-com was going to erase the old media was
ludicrous. We have been in this type of transformation
more than once in history.”
[Miles Grove, Chief Economist at the Barry Group [Chicago
Tribune, December 27, 2000]
♦
“The Internet no longer is being treated as the stepchild
of media. Advertisers are beginning to see the Internet as
a medium they can integrate and plan for in the same
fashion they plan for TV.”
Allie Shaw, Vice President of Online Advertising firm Unicast
Communications [Wall Street Journal, December 28, 2000]
♦
“The direct marketing industry...has a unique kind of
interactive system utilizing voice recognition software that
is infinitely superior to anything that the most talented
software engineers or computer manufactures can
produce. It’s called the human order entry
operator.”
Joe Segel, founder of QVC Home Shopping Network
71
Fitzgerald, K. Picking through the clutter, MediaCom bids for
flawless, 1999.
H a , L . “A d v e r t i s i n g C l u t t e r i n C o n s u m e r M a g a z i n e s :
[Hodgson, Interactive Marketing: The Future Present, 1995]
Dimensions and Effects.” Jour nal of Adver tising
These quotes point to a contradiction in how exper ts view
the impor tance of IA and the role of media forms that
facilitate interactivity. Consider the following questions:
Research. 36 (4), 1996. 76-84.
Heeter, C. “Being There: The Subjective Experience of
Presence.” Presence: Teleoperators and Vir tual
Will interactive adver tising be the panacea that
everyone predicts?
Will it change the way we define adver tising?
Will interactive adver tising be mainstream marketing
by 2005 or will it continue to stand out among the
crowd of other promotional tools?
Environments. 1 (2) 1992. 262-271.
Heeter, C. (2000). “Interactivity in the context of designed
experience.” Jour nal of Interactive Adver tising.
1, (1). Retrieved November 10, 2000 from the
World Wide Web: <http://www.jiad.org/vol1/no1/
heeter/>.
What technology will likely facilitate interactivity in
the next five years?
What issues will interactive adver tisers face?
What oppor tunities will there be for research into
aspects of interactive adver tising?
Held, R. M., and Durlach, N. I. “Telepresence. Presence:
Teleoperators and Vir tual Environments” 1(1),
1992. 109-112.
Johnson, B. 2000. It’s just the future. Adver tising Age, 71
References
( 1 6 ) , 8 + . R e t r i e v e d January 16, 2001 from
Ananova, Ltd. 2001. Retrieved on the World Wide Web
February 28, 2001: <http://www.ananova.com>.
EBSCOhost (Academic Search Elite) on the World
Ask Jeeves 2001. Retrieved on the World W ide Web
Febr uar y 28, 2001: <http://www.ask.com>.
Kaye, B. K. and Medoff, N. J. Just a Click Away: Adver tising
Clocking Clutter. Brandweek. April 13 2000. 20.
Steuer, J. Defining vir tual reality: Dimensions determining
D e F l e u r, M . L . a n d D e n n i s , E . E . U n d e r s t a n d i n g M a s s
Communication. Boston: Houghton Mifflin
Company. 1996.
Wide Web: <http://search.epnet.com>.
on the Internet. Boston: Allyn and Bacon, 2001.
telepresence. In Frank Biocca and Mark R. Levy
(eds.), Communication in the age of vir tual reality.
33-56. Hillsdale, NJ: Lawrence Erlbaum Associates.
1995. 33-56.
Elliot, M.T. and Speck, P. S. “Consumer Perceptions of
Adver tising Clutter and Its Impact across Various
Media.” Journal of Adver tising Research, 1998.
38(1), 29-41.
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Wells, W., Burnett, J., and Moriarity, S. Adver tising Principles
and Practices (4th Ed.). Upper Saddle River, NJ:
Prentice Hall, 1998.
72
Aura and Ambience
in Human Relations:
Private Banks Scene
Anukool Manish Hyde, Sulakshana Deshpande and Mishra D.P.
In recent years there has been an increasing recognition of the impor tance of human resource
a n d a s a r e s ult a new concept of dealing with the human resource known as the Human Resource
Development (HRD) is fast growing everywhere. This concept emphasizes the need for every
organization to continuously develop its employee's competencies in a planned way and it brings
into sharp focus the impor tance of roles, which employees occupy in organizations. Human Resources
take active role in the modern economic scenario of any country. The abundant physical resources
alone cannot benefit the growth of the country without human resource component, which transforms
physical resources into productive resources. Present study fulfills this objective by measuring HRD
climate in financial institution i.e. private banks only. This study is an attempt to find out HRD climate
in private banks with special reference to Indore (M.P.). The factors contributing towards HRD
climate, have been identified and areas to improve so that HRD climate can be more congenial.
T
he present study is an exhaustive investigation to
understand the level of HRD climate in banks and
i n s u r a n c e c o m p a n i e s i n Indore.The HRD climate
survey is described in
d e t a i l t o b u i l d a con ceptual framework for
systematically processing in
complet i n g t h e r e s e a r c h
endeavour.
Just as it is possible to
determine the climate of a
place through parameters
developed by modern
sciences, it is possible to
de t e r m i n e t h e c l i m a t e o f
an organization through
p a r a m e t ers developed by
behavioural scientists. All
organizational theoreticians
and the researchers u n a n i -
A Quarterly Journal
mously agree that a congenial HRD climate is extremely
impor tant for the ultimate achievement of the business
goals. Climate is a commonly experienced phenomenon
and often referred to by
many expressions as
“atmosphere,” “environment,”
etc. Each has its own
traditions, methods of
action and culture, which
in their totality comprise
the climate for the people.
D r. A n u k o o l M . H y d e , A s s t . P r o f e s s o r - H R , S h r i V a i s h n a v
I n s t i t u t e o f M a n a g e m e n t , S c h e m e N o . 7 1 , G u m a s t a N a g a r, HRD climate is an integral part
I n d o r e — 4 5 2 0 0 9 ( M . P. ) , E - m a i l : a n u k o o l _ h @ r e d i f f m a i l . c o m of “Organization climate.”
Organizational climate is a
Ms.Sulakshana Deshpande, Faculty - Statistics, Operations
very important factor to be
Research and Research Methodology, E-mail:
considered
while studying
[email protected]
and analyzing organizations
D r . M i s h r a D . P. , C . E . O . ( V a i s h n a v V i d y a p e e t h ) a n d E x - because it has a profound
D i r e c t o r o f S h r i Va i s h n a v I n s t i t u t e o f M a n a g e m e n t , I n d o r e. influence on the outlook,
well being and attitudes of organizational members and thus
on their overall performance.
P.N.Singh in his “Developing and Managing Human Resources”
on special human resources” in India, says that seven behaviours
based indicators are constituted to form a new Human
Resource Information System to indicate the health of the
organization.
73
(g) Parochialism Index –
Lastly, it is stated that organizations will do very well if this
index is lower and vice-versa. This depends on the
performance of cosmopolitan team.
Last two are not directly affected by technology, and are
known as “Technology Independent.”
Definition of HRD Climate
(a) Sycophancy Index –
Dissent in present day organization is not only discouraged
but also “curbed.” Those who matter do not seem to realize
that ‘Yes-men’ contribute little in making an organization great.
Therefore, a high level of sycophancy should serve as a warning
to the management.
(b) Self – Development Index –
All development is self – development. The strength of an
organization will partly depend on how serious its employees
are about their own development. Factors like how many
employees are attending courses, how many books they are
reading etc., will be the index.
(c) Boredom Index –
Any employee either newly recruited or posted to a new
assignment goes through the following stages: Anxiety Period,
Competence Building Period, Confidence Building Period, and
Boredom Period.
(d) Leadership Index –
Productivity etc., depend to a great extent on the quality of
leadership at different hierarchy levels of the organization.
Therefore, better the leadership and better the climate.
(e) Creativity Index –
In a modern and changing environment one has to be
creative to cope with competition from outside.
(f) Executive Stress Index –
Since executives play a crucial role in achievement of
goals, stress for a shor t period may be functional. The
executive stress index could be gauged from the
number of key executives suffering from high blood
pressure etc. Therefore, less the stress, better the
achievement.
A Quarterly Journal
Baumgartel (1971) viewed organizational climate as a
product of leadership practices, communication practices
and enduring and systematic characteristics of the working
relationships among persons and division of any particular
organization.
Payne and Monsfield (1973) viewed HRD climate as a
conceptual linkage between organizations and individual that
intervenes between specific situation attributes or events and
individual perceptions, attitudes and behaviour.
Pritchard and Marasick (1973) define HRD climate as a
relatively enduring quality of an organizations internal
environment, distinguishing it from other organizations, which:
(a) results from the behaviour and practice of members of
the organization especially in top management, (b) is
perceived by members of the organization, (c) serves as a
basis for interpreting the situation, and (d) acts as a source
of pressure for directing activity.
Review of Literature
Koffka (1935) had suggested that individual behaviour could be
more understood if it was related to the behavioural environment
as perceived and reacted to by the subject. At about the same
time, Lewin (1935) discussed the impact of environment factors or
behaviour.
Litwin and Stringer (1968), through their experimental studies
found that a given leadership style produced a characteristic
climate. This shows how we can create and alter climate in a
group, and how climate can then arouse a motive appropriate for
its demands.
Becker (1992) suggested that climate survey resulted due to
need for a systematic method of collecting information on
human motivation, as this is essential for effective management.
National Institute of Bank Management, Pune conducted HRD
climate survey for bank and revealed that HRD climate is
satisfactorily perceived, and cooperation, team spirit, trust and
top management’s belief in human resources have been
favorably perceived. The survey suggested, re-orienting mindset of entire Bank family members towards facing the challenges
posed by the turbulent environment. The top and senior
management executives including chairman and Managing
Director and Executive Director were exposed to a weeklong
workshop at IIM, Ahmedabad in three batches, covering about
110 senior executives, which prepared them to meet the
challenges of the future.
Bayti (1970) has identified eight dimensions of climate and
found difference in climate of rural and urban school, the open
system of education and more responsive and stimulating
environment lead to greater creativity in students.
Nakra (1971) is of the view that the public sector in India is a
victim of the absence of well-defined policies and the presence
of an atmosphere of suspicion, mistrust, lobbying, and
patronage.
Sharma (1971), Rao and Mehta (1973) have worked on
organizational climate in Indian Schools. They conclude that
school systems have complex climates within a variety of
organizational setup, which pose serious problems of
measurement.
Sinha (1973), on the basis of his study of over 800 executives
of two public and two matching private sector organizations
found public sector to be inferior in terms of the following
dimensions: Chances of promotion, efficiency, responsibility,
social relationships, initiative and reward and working
conditions. There were lesser conditions, poor leadership,
ineffective in the face of external interferences, diffused
reinforcement pattern etc. leading to inefficiency, lack of
involvement and dissatisfaction among the executives.
Rao and Chattopadhyay (1974) studied a number of
workers and supervisors and managers of eight small-scale
industries and found no consistent differences in their
perceptions of their organizations.
A Quarterly Journal
74
Ray (1974) compared the climates of organizations in public
and private sectors as seen through the eyes of the urban
cities of Delhi. The public sector, as compared to the private
sector, was perceived to be less efficient because of
nepotism, arbitrariness in Union-Management relations
inexperienced managers lacking adequate management
system and influence by government and political forces.
Neelu Rohmetra (1995) studied HRD climate and
satisfaction in State Bank of India (SBI) and The Jammu
and Kashmir Bank Ltd. (JKB) and found that HRD climate
was much higher in SBI than in JKB. Comparative analysis
of the attitudes of employees towards the prevailing
development climate revealed that employees in SBI held
a much favorable attitude towards the development
practices than that in JKB. Consequently, the satisfaction
level of employees in SBI is higher than that in JKB.
Neelu Rohmetra (1996) conducted a research on the impact
of prevailing entrepreneurial culture in four Indian Commercial
Banks viz. State Bank of India (SBI), Punjab National Bank
(PNB), Oriental Bank of Commerce (OBC) and Dena Bank
(DB). Entrepreneurial culture is the function of (i) general
climate (ii) the development mechanisms (iii) the value base.
The overall entrepreneurial climate for SBI has been worked
out at 3.49 indicating a good degree of scope for
improvement along this dimension. The entrepreneurial
climate for PNB (3.41) is also estimated at a moderate level
implying lot of scope for improvement and in DB,
entrepreneurial climate at below average level. The study
establishes intimate relationship between entrepreneurial
climates and level of satisfaction.
Research Methodology
The Study:
The study is exploratory in nature since study was on Private
Banks of Indore (M.P.) city. The selection was made on
random basis. The survey approach was used to collect
primary data.
The Sample:
Data had to be collected from the clerks, officers, managers
of the Private Banks of Indore. The simple random sampling
method was used as sampling procedure to select
respondents. The total number of respondents was 50.
75
For analysis - The Z-test was applied to test the significant
difference in General Climate, HRD Mechanism and
OCTAPACE Culture in Private Banks.
The Tools:
The study tested following Hypotheses:
For data collection - “HRD Climate Survey” scale developed
by Prof. T.V. Rao and Mr. E. Abraham was used for data
collection. A 38-item HRD climate questionnaire was used
to survey the extent to which development climate exists in
Private Banks.
The scale includes the general climate, OCTAPACE culture
and HRD mechanisms in the organization. General Climate
consists of not only top management and line management’s
commitment but good personnel policies and positive
attitudes towards development. HRD mechanisms include:
Performance appraisal, Potential appraisal, Career planning,
Performance rewards, Feedback and Counseling, Training,
Employee welfare for quality work life, job-rotation etc.
OCTAPACE culture is essential for facilitating HRD climate.
OCTAPACE stands for Openness, Confrontation, Tr ust,
Autonomy, Proactivity, Authenticity, Collaboration and
Experimentation.
The filled questionnaires were screened for completeness
and the ones in which responses to all the statements were
complete, were selected for analysis. The questionnaires
incomplete in any respect were rejected at this stage. After
that all the responses were scored and tabulated.
(a) H o : Total HRD Climate in Private Banks is average against
the Hypothesis (H 1 ) that it is high.
(b) H o : General Climate in Private Banks is average against
(c) H o : HRD Mechanism in Private Banks is average against
(d) H o : O C TAPAC E C u l t u r e i n P r i v a t e B a n k s i s a v e r a g e
against the Hypothesis (H 1 ) that it is high.
The Karl Pearson’s Correlation Coefficient was used to find
the Cor relations between Total HRD Climate, General
Climate, HRD Mechanism and OCTAPACE Culture in banks.
Analysis and Results
The table 1 shows that the mean score range is from 115.46
to 150.38 of Total HRD Climate while for General Climate it
ranges from 42.25 to 56.83. The mean score range of HRD
Mechanism is from 45.5 to 58.9 and for OCTAPACE Culture
mean score range is from 25.61 to 36.75.
Again from table 1, it can be inferred that the calculated value
of Z is 7.658 for total HRD Climate and the critical value of Z
Table 1: Arithmetic Means, Standard Deviations and Z-values of HRD Climate Factors in Private Banks.
Total HRD
General
HRD
OCTAPACE
Climate
Climate
Mechanisms
Culture
Mean
132.92
49.54
52.2
31.18
Standard Deviation
17.468152
7.2933
6.7005939
5.571245
Z-Va l u e
7.6587726
7.31025
7.598085932
5.305289
A Quarterly Journal
at five per cent level of significance for one tail test is 1.645,
which is lower than the calculated value. Hence the null
hypothesis is rejected and it is concluded that the total HRD
Climate is very high. The calculated Z-score for General Climate
is 7.293 which is much higher than the critical value of Z.
Therefore the null hypothesis is rejected and the statement
that there is high General Climate in the Private Bank is accepted.
Similarly the calculated Z-value of HRD Mechanisms (6.7)
which is higher than the critical value and hence the statement
is rejected i.e. HRD Climate is also very high in Private Banks.
Again because of the calculated Z score of OCTAPACE Culture
we may conclude that the OCTAPACE Culture in private bank
is very high.
76
development is having relationship with HRD climate
scale. This variable has a score of .5307.
§
Variable 13 i.e. “The top management of this
organization makes efforts to identify and utilize the
potential of the employees” plays vital role in HRD
climate scale, which has a score of .5305.
§
Variable 14 i.e. “Promotion decisions are based on the
suitability of the promotee rather than on favoritism”
has a relationship in HRD climate scale. This variable
has a score of .5212.
§
Variable 31 i.e. “Delegation of authority to encourage
juniors to develop handling higher responsibilities is
quite common in this organization” also has a
relationship in HRD climate scale which has a score of
.5166.
§
Variable 17 i.e. “Performance appraisal reports in our
organization are based on objective assessment and
adequate information and not on favoritism” contributes
toward HRD climate scale which shows the value .5103.
§
Variable 34 i.e. “When problems arise people discuss
these problems openly and try to solve them rather than
keep accusing each other behind the back” also
contributes toward HRD climate scale. This variables value
is .5071.
Correlation Analysis
To ensure the validity of the measure and dependability on the
outcome of the study, simple correlation (r) was determined
between the variables of the scale and the total score of the scale.
All such correlation was found to be significant, hence confirming
the validity of the instrument and results obtained in the study.
Results show that all the 38 variables are showing
significant relationship with HRD climate, which means
that all the variables are contributing towards HRD climate.
All these variables are reflecting either OCTAPACE culture
or general climate otherwise these variables are reflecting
HRD mechanisms. Following variables have strong
relationship in HRD climate scale:
§
Variable 33 i.e. Team spirit is of high order in this value
of r is .5597.
§
Variable 36 i.e. “The organizations future plans are
made known to the managerial staff to help them
develop their juniors and prepare them for future”
has relationship in HRD climate but here the value of
r is 5369 which is less than the previous one.
§
Variable 12 i.e. “Seniors guide their juniors and prepare
them for future responsibilities / roles they are likely
to take up” also contributing towards HRD climate
scale which has value .5312.
§
Variable 32 i.e. “When seniors delegate authorities to
juniors, the juniors use it as an oppor tunity for
A Quarterly Journal
Th e p i e c h a r t s h o w s p e r c e n t a g e o f f a c t o r s o f H R D
Climate in private banks. From the graph we may
conclude that in private banks the HRD Mechanism is
better than General Climate and OCTAPACE Culture. That
is performance appraisal, potential appraisal, career
planning, performance rewards, feedback and
counseling, training, employee welfare for quality work
life, job rotation etc. are better in private banks as
compared to General Climate and OCTAPACE culture.
There is slight difference in the percentage of HRD
mechanisms and General Climate in private banks but
HRD mechanisms (40 per cent) is better than General
climate (37 per cent). OCTAPACE culture (23 per cent)
is poor as compared to HRD mechanism and General
climate.
77
Table 2: Correlation Coefficient Values between Variable and Total Score.
Variable
A Quarterly Journal
r
Result
01
.3769
Significant
02
.4655
Significant
03
.4869
Significant
04
.3903
Significant
05
.4573
Significant
06
.4818
Significant
07
.4501
Significant
08
.4429
Significant
09
.4736
Significant
10
.3999
Significant
11
.4319
Significant
12
.5312
Significant
13
.5305
Significant
14
.5212
Significant
15
.4655
Significant
16
.4818
Significant
17
.5103
Significant
18
.394
Significant
19
.4594
Significant
20
.4558
Significant
21
.428
Significant
22
.4799
Significant
23
.4085
Significant
24
.4055
Significant
25
.4801
Significant
26
.459
Significant
27
.4593
Significant
28
.3443
Significant
29
.3141
Significant
30
.4655
Significant
31
.5166
Significant
32
.5307
Significant
33
.5597
Significant
34
.5071
Significant
35
.4466
Significant
36
.5369
Significant
37
.4772
Significant
38
.4794
Significant
78
Figure: Percentage of Factors of HRD Climate in Private Banks.
OCTAPACE Culture 23%
General Climate 37%
HRD Mechanisms 40%
Conclusion
Suggestions
The study found that the Total HRD Climate, General Climate,
HRD Mechanism and OCTAPACE Culture in Private Banks
surveyed appears to be at high level. High level of HRD
Climate gives an indication that employee’s perception
towards HRD activities in the banks is positive. Therefore, null
hypothesis is rejected (Z cal > Z tab).
Though HRD climate is high in private banks but private banks
should periodically take feedback of their HRD mechanism.
High level of General Climate indicates not only top
management and line management’s commitment but good
personnel policies and positive attitudes towards
development in private banks. Successful implementation of
HRD involves, taking an integrated look at HRD and making
effor ts to use as many HRD mechanism as possible
Performance appraisal, Potential appraisal, Career
planning, Performance rewards, Feedback and
Counseling, Training, Employee welfare for quality work
life, job-rotation etc.
♦
♦
♦
♦
Superiors should guide their subordinates for their
career growth and advancement. Top management
should make such policies, which can encourage
employees towards achieving the goals of the
organization.
Seniors should feel the pulse of their employees
and should treat their subordinates as their younger
brothers in developing their skills, knowledge etc.
The policy of the organization and the activities
should not be in “lock and key.”
Superiors should act as a counselor, teacher, guide,
and facilitator in the realization of the vision of the
employees.
References
HRD mechanism is high in private banks i.e. they have adopted
latest techniques of performance appraisal. Superiors are
guiding their subordinates for their career growth and
advancement. Top management people have made the
policies, which encourage employees towards achieving the
goals of the organization. They have transparent system in
the organization to motivate the employees for better
performance.
OCTAPACE culture is essential for facilitating HRD climate as
without OCTAPACE culture one can not think of HRD climate.
A Quarterly Journal
Baytim, J. “A Comparative Study of the Organizational Climate
in Rajasthan School.” Indian Educational Review.
Vol.5, 2 (1970):107-117.
Becker, T.A . and Charles, E. “Deciding When It’s Time for a
Change in Organizational Climate.” Personnel, 52 3
(1975): 25-31.
Davis, J. “Rules, Hierarchy and Organizational Climate.”
Personnel Administration, 31 (1968): 50-55.
Devi, L. “Encyclopedia of Management and Behavioural
Science Series – Human Resource Management.”
Institute for Sustainable Development, Lucknow
and Anmol Publications Pvt. Ltd., New Delhi: 1998.
Ginsburg, Lee. “Strategic Planning for Work Climate Modification.”
Personnel, Vol. 55, 6 (1978): 10-20.
Goswami, M. “Organizational Commitment, Job Satisfaction and
HRD Climate: A Study on Shift and Non-Shift
Employees.” Unpublished Doctoral Dissertation. Utkal
University, Bhubaneswar, 1995.
Gupta, R.K. “HRD – Concerns, Concepts and Frameworks, in
Khandelwal, A.K. (ed.).” Human Resource Development
in banks. New Delhi: Oxford and IBH, 1988.
Hillriegal, D. and Slocum, W. “Organizational Climate: Measures,
Research and Contingencies.” Academy of Management
Journal. Vol. 17, 2 (1974):225-280.
James, L.R. and A.P.Jones. “Organizational Climate: A Review of
Theory and Research.” “Psychological Bulletin. 81:
(1974): 1096-1112.
Joyce, W.F. and J.W. Slocum. “Climate in Organizations, In: S.Kerr
(ed.).” Organizational Behaviour. Columbus: O.H. Glid,
1979.
Kaczka, F. and Kir t, R. “Manage Climate, Work Groups and
Organizational Preference.” Administrative Science
Quarterly. Vol.12 (1968): 252-271.
Nadler, Leonard. “Implications of the HRD Concept; Training and
Development Journal.” May-June, (1974): 3-13.
Nakra, D.S. “Managerial Motivation in Public Sector, Lok Udyog,
Vol.5, 9 (1971): 877-883.
Pareek, Udai and Rao, T.V. Designing and Managing HR Systems.
New Delhi: Oxford and IBH Publishing Co. Pvt. Ltd.,
1981.
Pattanayak, Biswajeet. Corporate HRD. New Delhi: Excel
Book, 1998.
Payne, R.L. and Pugh, S.S. “Organizational Structure
and Organizational Psychology.” Chicago Rand
A Quarterly Journal
79
McNally, (1976): 1125-1173.
Powell, G.N. and D.A .Butterfield. “The Case of Sub-System
Climate in Organizations. Academy of Management
Review. 3 (1978):151-157.
Rao, T.V. and Abraham, E. “HRD Climate in Organizations,
Readings in Human Resources Development.” New
Delhi: Oxford and IBH publishing, 1991.
Rao, T.V. and Chattopadhyay, S.N. “A Study of the Perceptions
of Organizational Climate by the Employees of Small
Industries.” Indian Journal of Industrial Relation. Vol.10,
1 (1974): 55-67.
Rao, T.V. and Pereira, D.F. “Recent Experiences in Human
Resource Development.” New Delhi: Oxford and IBH
Publishing Co. Pvt. Ltd., 1989.
Schreidel, B. “Organizational Climate: An Easy Personnel
Psychology.” Vol.28, (1975): 447-479.
Sharma, M.L. “School Organizational Climate: An Overview.” Indian
Educational Review, Vol.6, No.2 (1971): 281-292.
Silvera, D.M., “Human Resource Development – The Canara
Bank experience in Khandelwal, A .K. (ed.)” Human
Resource Development in Banks. New Delhi: Oxford
and IBH, 1988.
Singh, P.N. “Developing and Managing Human Resources.”
Bombay: Suchandra Publications, 1990.
Tagiri, B. “The concept of organizational climate in B. Tagiri
and G.H. Litwin (eds), Organizational Climate:
Explantation of Concept, Boston: Harvard University
Press, (1968):11-32.
Wilkins, A . and Ouchi, W.G. “Research in Organization
Behaviour – An Annual Series of Analytical Essays
and Critical Reviews.” Volume 18, Jai Press Inc.,
1996.
Woodmen, R .W. and King, D.C. “Organizational Climate:
Science folklore.” The Academy of Management
Review. Vol. 3, 4 (1978): 818-826.
80
Livestock Farming and Local
Agri-Food System:
Scene from Brazil
Guilherme Cunha Malafaia, Julio Otavio Jardim Barcellos,
Luis Kluwe Aguiar, and Eugenio Avila Pedrozo
This study addresses how Indication of Origin within a Local Agri-food System has served to create
competitive advantages for a livestock far ming system In Brazil. The concept of L AS relates to strategic
resources encompassing typical products, differentiated techniques, territory, natural resources,
collective actions and organisation of the productive activities. The authors used the concept of
Resource-Based View (RBV) to provide a theoretical foundation for the analysis of L AS. As a result,
such a livestock farming system was granted 'Meat of the Gaúcho Pampas' Indication of Origin status.
The confer ring of Indication of Origin within this L AS is perceived as being of creating oppor tunities
for those involved in the supply chain as it allows for market penetration strategies at both domestic
and international level. In order to achieve such an Indication of Origin status, problems of coordination
amongst the actors have been addressed. Farmers are now better equipped to compete in an ever
globalised agribusiness environment. The results of this study show that L AS is a viable alter native for
the inser tion of the souther n Brazil's livestock far ming system in a competitive environment.
T
his article discusses the feasibility of a specific livestock
farming system in the state of Rio Grande do Sul in southern
Brazil. Such a system is locally known as the gaúcho
livestock system, and it is ranked fourth in beef production
in Brazil (Fürstenau, 2004). Such a livestock system is typical
of a relative low land value, low fixed capital, low labour
utilisation and low or even negative efficiency indicator
(SEBRAE/FARSUL/SENAR , 2005).
M r. G u i l h e r m e C u n h a M a l a f a i a , P h D C a n d i d a t e i n A g r i b u s i n e s s a t t h e F e d e r a l U n i v e r s i t y o f R i o G r a n d e d o S u l , S e n i o r
L e c t u r e r a t U n i v e r s i t y o f C a x i a s d o S u l ( U C S ) , Ve n a n c i o A i r e s A v e n u e , 4 4 4 , A p t . 6 0 3 , P o r t o A l e g r e - B r a z i l - 9 0 . 0 4 0 192, Email: [email protected]
M r. J u l i o O t a v i o J a r d i m B a r c e l l o s , S e n i o r L e c t u r e r o f P o s t G r a d u a t e P r o g r a m C e n t r e f o r R e s e a r c h a n d S t u d i e s i n
A g r i b u s i n e s s ( P P G A / C E P A N ) , F e d e r a l U n i v e r s i t y o f R i o G r a n d e d o S u l , Wa s h i n g t o n L u i s S t r e e t , 8 5 5 , P o r t o A l e g r e Brazil - 90.010 - 640, Email: [email protected]
M r. L u i s Kluwe A g u i a r, S e n i o r L e c t u r e r - S c h o o l o f B u s i n e s s - R o y a l A g r i c u l t u r a l C o l l e g e , G l o s G L 7 6 J S . C i r e n c e s t e r, U K ,
M r. E u g e n i o A v i l a P e d r o z o , S e n i o r L e c t u r e r o f P o s t G r a d u a t e P r o g r a m f o r R e s e a r c h a n d S t u d i e s i n A g r i b u s i n e s s ( P P G A /
C E P A N ) , F e d e r a l U n i v e r s i t y o f R i o G r a n d e d o S u l ( U F R G S ) , Wa s h i n g t o n L u i s S t r e e t , 8 5 5 , P o r t A l e g r e - B r a z i l - 9 0 . 0 1 0 - 6 4 0 ,
A Quarterly Journal
In the last decades, the process of globalisation has greatly
impacted on the gaúcho livestock farming. Such a sector is
enduring constant difficulties, resulting from the loss of market
share to other agrifood chains (Malafaia et al., 2005). This could
be mainly attributed to increased competition with other
member countries that form the South American Common Market
(MERCOSUR) of which Brazil is a member. Nonetheless, the
gaúcho livestock system has lost competitiveness in comparison
with other regions in Brazil where cattle raising is more intensive.
Despite this, the gaúcho system possesses great competitive
potential advantage that derives from its natural strategic
resources. Such a feature, if explored in a more coordinated
way, would allow for sustainable competitive advantages to be
achieved. The implications of this state of affairs serve as a basis
for the discussion in this article.
When the process of globalisation is analysed closely, it is
perceived that it imposes increasing challenges for companies
because of the requirement for new processes, new
technologies and management practices. Globalisation has
shifted the world’s competitive settings further, complicating
the conditions of survival of companies (Forsman and Paananem,
2002). According to Sterns and Peterson (2001), the
globalisation process demands that companies establish
inter-organisational relationships in which they have to establish
cooperative links aiming at obtaining the necessary access to
the factors of production for their maintenance and survival. As
a result, new forms of competition emerge to the detriment of
others, and the isolated perception of single competitive
productive units gives way to a more comprehensive view of
groups of competitive companies (Hansen, 2004; Pedrozo and
Hansen, 2001; Fleury and Fleury, 2000; Casaroto Filho and Pires,
1998; Lambert, 1998; Coutinho and Ferraz, 1995; Porter, 1990).
Hence, companies establish inter-relationships in the most
diverse forms. These can have a formal or informal character,
but the common aim is to attempt to face shared problems
and/or jointly explore the possibilities available, which,
consequently, generate collective efficiency (Lins, 2004). This
means companies are continuously seeking to create
partnerships in the search of competitive advantages that at
an individual level would hardly be achievable (Altenburg
and Meyer-Stamer, 1999). As a result of globalised competition
since the mid-1980s (Reardon et al., 2001) there has also been
a need for cooperation amongst different actors in the
agricultural food sector (Cozzarin and Barry, 1998) to
face the new challenges imposed by intensified
A Quarterly Journal
81
competition. However, whilst large agrifood organizations
have addressed these challenges early enough, it is known
that this has not been the case for many smaller individual
farming units.
Moreover, another feature of the globalisation phenomenon is
the concentration of the productive resources (Linck and
Schiavo, 2003) and Requier-Desjardins (1999). Nevertheless,
concentration in the agribusiness domain has also allowed for
an extensive diffusion of standards of relationships and
practices. A production-oriented model based on
dependence on international markets has been efficiently
diffused by the means of a more cooperative behaviour. Larger
companies and multinational enterprises have adopted such a
model that requires high use of technology, lands of high
agricultural potential and standards of consumption that, when
diffused, require strong demand in terms of concentration
and accessibility of resources. Such a model also embodies
increasing economies of scale and standardisation of products
suppor ted by intensive capital requirement to foment
production of a predominantly intensive cultivation system.
The overall effect is characteristic of hegemonic
competitiveness in the agribusiness sector, but, according to
Requier-Desjardins (1999), in the case of some very large
agribusiness companies, by imposing a model of
internationalisation, have also created new forms of
dependence. Conversely, the globalisation process has also
resulted in harmful transformations. Many producers have left
the farming activity because of their inability to fulfil such a
large scale demand of very standardized products and process.
As a consequence, the increased social costs and the
destruction of the natural resources are also part of this setting
(Lins, 2004; Linck and Schiavo, 2003; Borray, 2000; Dominguez,
2003; Breda and Santos, 2000).
Yet, Forsman and Paananem (2002) point to the continuously
increasing interest by consumers in quality, safety and
sustainability issues. Issues of sustainability have gained
prominence in recent years as a counterbalancing force
against globalisation. It is, thus, possible for a family-type of
agriculture to use attributes such as more transparency in the
production process, product cer tification and ultimately
denomination of origin that create oppor tunities for the
inser tion in competitive market environments. This is made
possible through initiatives such as product differentiation
resulting from local collective actions of which fair-trading is
a good example. Moreover, the creation of geographical
marques acts as a means of exploring sets of imageries
(Goodman and Goodman, 2001), local values and customs
that could provide sustainability for family-type agriculture.
This becomes of importance as a viable form of promotion
of rural development as an instrument of accessing globalised
markets that would enable the modernisation of the
agricultural process (Lyns, 2004; Giordano, 2003).
Despite the fact that many of the consequences of the issues
addressed so far could be perceived as mainly negative, this
study endeavours to determine the actual needs of the
livestock sector so that actions could be proposed to revert
the present situation. In order to analyse it, the authors use the
Local Agrifood Systems (LAS) framework. According to Lyns,
(2004) and Borray, (2002), the conceptualisation and analysis
proposed by LAS provide a response to many of the resulting
problems of globalisation. Moreover, in this study it was felt
that applying the theory of the Resource-Based View (RBV)
would provide a stronger theoretical foundation to support
the analysis of LAS. The authors will explore these two concepts
further in the light of Barney’s (1991) and Peteraf ’s (1993)
understanding of businesses as collections of resources,
whose efficiency depends on the strategic vision of its agents.
If these resources are heterogeneous and can add effective
value to the products or services, they can be utilised, as
these are sources of superior competitive advantage for the
economic agents in question.
Local Agrifood Systems (LAS)
In recent years, especially in the European countryside, to
counterbalance the undesirable results of globalisation and
modernisation of agriculture, a change in the logic of the
production-oriented type of agriculture towards a multifunctional one has taken place. Such a change is based on the
existence of: (1) a diversified demand; (2) oppor tunities
connected to the transformations of the functions of the rural
areas (agriculture of service i.e. leisure and countryside
stewardship); (3) the relationship with the environment
(sustainable agriculture) and (4) national and regional objectives
of development (Borray, 2002). Hence the importance of the
concept of territory is highlighted where aspects such as the
environment, culture, history, politics, the economy as well as
the actors involved are important elements for the development
of competitive advantages. In such a territory, actors are inclined
A Quarterly Journal
82
to partake in collective actions through the sharing of problems,
visions, knowledge and opportunities (Lins, 2004 and Córdova,
2003). In view of this, a systemic approach for the process of
productive transformations in the farming sector is important where
the territory assumes a singular relevance as instrument of analysis
(Dominguez, 2003).
The role of a geographical approach linked to an organizational
and social context has been highlighted since the end of the
1970s by economists aiming at understanding the dynamic
powers behind economic development (Requier-Desjardins,
1999). Following this perspective, and according to Velarde et
al. (2002), a territory can be approached under three
complementary dimensions: firstly, as a physical space, secondly
as a place of articulation of actors, and thirdly for its cultural
and historical context. Considering the territory as a physical
dimension, it encompasses spatial distribution where
boundaries delimit the actions and development policies can
be established. Yet, when considering the territory as a setting
where diverse actors can interact in an articulated manner, it is
about emphasising the dynamics of a relational reality. Since
such a reality is built up over a period of time, the agents
involved end up interacting and agreeing to some form of
production. Finally, the collective construction of a space defines
habits, practices, routines and accumulated experience that are
expressed through differentiated goods.
Moreover, as seen before, par tner-production companies
operating within supply chains under collective
configurations represent better power positions for providing
competitive advantage. This frequently happens within
geographical clusters of companies that according to Linck
and Schiavo (2003) and Schimitz and Nadvi (1999) are typical
of linkages to a productive chain aimed at achieving
c o l l e c t i v e e f f i c i e n c y . H o w e v e r, t o s u p p o r t t h e
establishment of efficient units inside a collective
arrangement some level of coordination is necessary in
respect of labour training and qualification, division of
work, product quality control as well as standardization
of production. Hence, the standardisation of
relationships on the supply side acts as a facilitator in
solving common problems within a collective action
ar rangement. In view of this, institutional suppor t by
federal or local government allows for the development
of relationships of trust amongst the members of such
an arrangement.
83
Lins (2004) sees the concept of territory as a set of specific assets,
whose characteristics can be seldom met in other places. These
assets are often depicted through the tacit knowledge diffused
in a local arrangement that takes into account the partner-cultural
identity of the actual institutions. In the case of the agrifood
sector, the tacit idea that natural resources are used, aiming at a
sustainable production system means that some specific assets
relating to the production of food provide a par ticular
relationship that enables a closer interface with consumers.
Hence, such a relationship in the agrifood sector becomes more
important than in other sectors as the consumers’ role involves
evaluation of product quality. Consumers being able to to capture
the characteristics of the products purchased connect the
original characteristics of a natural environment to that of the
cultural identity. Within a food chain, the sum of the relationships
established amongst producers, processors, distributors and
consumers that enable a social construction of quality can be
also considered a specific territorial asset. This is because in the
view of Requier-Desjardins (2002) the ‘conventions of quality’
are originally connected to the territory of production.
shared characteristics and operating in a specific territory (CIRAD,
2005). According to Lyns (2004), the space of LAS does not
possess a merely geographical content, but, it is a space built
by collective actions, marked by regular and cultural exchanges.
In LAS there ought to be an interaction between territory and
the productive chain (production-distribution-consumption)
of a determined sustainable activity. Specific assets become
notorious in respect of a differentiation image that a territory
represents. The image of a territory is the fundamental point for
the support of LAS, therefore, an object of interest amongst
its agents. Cooperation between a determined group of
companies, closely geographically located and of high
specificity regarding the use of assets within a territory, are
important elements for creating opportunities. Cooperation also
opens new spaces for the action of small organizations facing
increasing competitive environments caused by globalisation.
Such an argumentation leads on to the next stage which is the
discussion of the theory of Resource-Based View aiming at
building competitive strategies with the assets available of a
business.
Following the above exposition, it is now possible to
characterise Local Agri-food Systems (LAS) using a systemic
view. LAS is a concept that has developed by linking agricultural
activities of particular territories to the environment, the social
organisation of rural communities, food quality etc. The LAS
concept encompasses the investigation of the relationships
between the development of local agrifood chains and its
territorial dynamics, such as the system of local food
production, where not only the territory but social and historical
roles are as impor tant (Requier-Desjardins, 1999; Boucher et
al., 2000). According to Requier-Desjardins (2002), LAS are
local concentrations of small companies of agrifood
transformation that present the following characteristics:
The Resource Based View (RBV) of a Business
a) Oriented for the output of products whose quality is
linked originally to the territory;
b) Based on a specific activity using common resources at
the disposal of the actors of these systems;
c) Carry out a collective production of public and private
goods;
d) Can be replicated at the same time, in diverse countries.
LAS can be, thus, defined as an organisation of producers of
goods and services (units of agricultural production, agrifood
companies such as traders, service, gastronomic etc) linked by
A Quarterly Journal
The first definitions of RBV were depicted in the 1950s by
Edith Penrose. For the author a company is seen as ’a unique
bundle of productive resources’ (Penrose, 1959). These
collections of resources can generate a competitive differential
for businesses if managed efficiently. According to Barney
(1999), companies can differentiate themselves through the
use of their resources provided the resources available are
specific (rare, scarce, and specialised). If the resources are
capable of aggregating value to final products, they can generate
a competitive differential. These resources when available and
controlled by businesses include assets such as capacities,
organizational process, attributes of the firms, information,
knowledge etc. These assets also allow businesses to set out
and implement strategies that optimize the efficiency and the
effectiveness of operations (Barney, 1991), thus enabling the
creation of value. Resources can be classified as:
(1) Physical capital - industrial plants, equipment,
geographical position, access to material.
(2) H u m a n c a p i t a l - t r a i n i n g , e x p e r i e n c e s h a r i n g ,
intel l i g e n c e a n d i n d i v i d u a l p e r c e p t i o n o f t o p
management.
(3) Organizational capital - structure of information, formal
or informal planning, control and systems of
coordination and the information related to the
group and the environment.
Moreover, Grant (1991) proposes a classification of tangible
and intangible resources. Tangibles can be clearly observed and
evaluated such as financial scope, human resources and
equipment. Intangible resources cannot be directly observed
such as knowledge, organisational culture, reputation of the
company, technological or managerial abilities and relationships
with suppliers and clients, among others. Hence, for a company
to build competitive advantages it is necessary that it implements
a strategy that creates value that could not be easily copied by
potential competitors. As a result, what determines the period of
the sustainability of a competitive advantage is the inability
of competitors to copy such an advantage? The sources
of competitive advantages are, thus, maintained by the
immobility and heterogeneities of the resources, when
they are distributed between the businesses (Barney,
1991). In shor t, to sustain competitive advantages,
resources should be heterogeneous and immobile.
Peteraf (1993) complements the above notion by
suggesting that business’ resources should encompass
four empirical attributes: (1) it should be valuable, in the
sense of exploring the oppor tunities and neutralize the
threats of the environment; (2) it should be uncommon
amongst a competitor ’s business and a potential
competitor; (3) it should be imperfectly matched, and
(4) it could not be strategically equivalent and replaceable
by other valuable resources, which are not uncommon
or inimitable.
Valuable resources are those capable of keeping the
competitive advantage position by being able to implement
efficient and effective processes. Distinguishable or
uncommon resources are related to the capacity to implement
the value creation strategy in face of the competitors. Some
strategies require a package of resources, a mix of
organizational, human, and physical capital to implement it, as
well as talented managers. If many companies are able to use
these resources, they can be of value, but they could not be
distinguishable enough. In respect of the ability or not to match
the resources, they would be perfectly inimitable if: (1) the
ability of the companies to obtain a resource is dependent of
historical conditions; (2) the connection between the
A Quarterly Journal
84
resources possessed by the company and its sustainability
as a competitive advantage is the cause of ambiguity; or (3)
if the generation of the advantages of the resources are
socially complex. According to Peteraf (1993), the main
limits to the competition ex-post involve the presence of
conditions called imperfect copy and imperfect substitution
of a resource. The capacity of protection of a resource
against imitation or substitution depends on the causal
ambiguity, the no-coding of the knowledge, or the existence
of dependences, among others.
Methodology
The study has a qualitative nature due to its descriptive
approach. The study also has an exploratory function and has
a descriptive character as it attempts to understand a
phenomenon that is not sufficiently known. This study is
characterized as exploratory research because it focuses on
the construction of competitive advantages in the livestock
sector by the means of existing strategic resources within LAS.
According to Tripodi et al. (1975), the exploratory study aims
to ‘supply a chart of reference that can facilitate the process
of deduction of per tinent questions in the inquir y of a
phenomenon.’ According to the authors it is possible for the
researcher to formulate concepts and hypotheses that will be
developed further in subsequent studies (Tripodi et al., 1975).
In respect of the procedures, a review of the literature was
carried out to underpin the theoretical background of the study.
This research used a case study approach, which is justifiable
as a procedure for the exploratory character of the research.
In-depth interviews were carried out with specialists for a better
understanding of the issues as well as for those matters related
to the operational process regarding indication of origin.
The Building of Competitive Advantages
An Analysis of the Lacking of Competitiveness
Livestock farming in Brazil can be analyzed under two specific
characteristics: diversity and lack of coordination. Diversity because
of the great variety of breeds, systems of production, health and
safety conditions at slaughter and because of a variety of marketing
arrangements. The lack of coordination is reflected in the diminishing
stability in the relationships between the actors along the beef
supply chain such as those involved in termination, slaughter,
processing, wholesaling and retailing. The unreliability of
such a relationship is brought to fruition at the market place
and is aggravated by the actors treating beef as commodity.
The resulting effect is the low level of the specificity of the
traded products.
In works of Malafaia, et al. (2005), Euclides Filho (2004),
Zilbersztajn and Machado Filho (2003), Ferreira (2003), Rocha
et al., (2001) and Pigato et al. (1996) there is a consensus
that the beef chain in Brazil generally presents low levels of
coordination. The system as a whole is inefficient, with a
great deal of oppor tunistic behaviour amongst the actors, it
lacks of price stability and is characteristically asymmetrical
regarding information sharing. As a result, the marketing
practices are obsolete which, when coupled with animal
health problems and disloyal competition amongst slaughter
houses, contribute to the overall inefficiency of the sector.
Such a poor performance could be attributed to the process
of globalisation that has had a huge impact on the livestock
farming activity mainly as a result of economic and trade
integration with other members of MERCOSUR, such as
Argentina and Uruguay. As a result of this, many producers
were forced to cease farming due to not being efficient or
specialised enough. Despite this, not only the harmful effects
of globalisation can be blamed for the debacle in the sector,
but also the absence of agricultural policies has aggravated
the state of play for livestock farmers. Short-sightedness of
politicians and rural leadership has also jeopardised the future
sustainability, efficiency and performance of the livestock
sector.
To understand how competitive advantages can be built into
the gaúcho livestock system it is necessary to revert the loss
of market share that gaúcho beef has had over a long period
of time to similar agrifood chains (Malafaia, et al., 2005).
According to FÜrstenau (2004), in 1990 the participation of
gaucho beef in meat exports was 22 per cent, dropping to
less than six per cent in 2002. Market share has been lost to
livestock systems in the centre-west region based on Indian
cattle breeds such as Gir, Nelore and Guzerah. The difference
relies on cattle ranchers in those states being oriented towards
a beef export market that demands standards and qualification
in the productive process. Despite not necessarily aiming at
supplying the domestic market, these are good examples of
how more sustainable competitive advantages can be
obtained in the beef chain. However, at six per cent market
A Quarterly Journal
85
share it reflects the relative loss of impor tance in the external
market.
The gaúcho beef chain has struggled to increase productivity
and reduce costs in a systemic way, hence unable to be
competitive. The authors have identified many other
problems. As a consequence of poor performance of the
sector farmers are highly dependent on earnings deriving
from non-agricultural activities, especially from financial
operations and the drawing of pension funds. Equally, the
livestock system being studied is typical of a relatively low
value of the land, low level of immobilized capital, low
utilization of labour and low or negative indicator of
economic efficiency (SEBRAE/FARSUL/SENAR 2005). On the
processors’ side, many meat packers went bankrupt as
identified by Favarett Filho and Lima de Paula (1997) as a
result of competition from neighbouring countries. The
segments’ profitability today is precarious and no longer
guarantee a sustainable livelihood.
FÜrstenau (2004) identified the gaúcho system as being the
least dynamic in the country. This is generally due to the
Brazilian marketing of beef at domestic and expor t level
being in natura. This is an indication of the overall degree of
evolution of the sector where adding value through the
processing of meats is insignificant. However, the gaucho
system, operating in much narrower amplitude, does not
provide sufficient incentives for fur ther market development.
Product differentiation is limited and solely in the hands of
the retailer. This results in the consumers being unable to
identify the likely relationships between the product
acquired and its origin. Rocha et al. (2001) mention that the
market place is used just as an arena for exchanges and not
the cultivating of relationships – which is probably the likely
reason for the many frustrated attempts to establish
productive arrangements in this sector. Because historically
the relationship between the agents of the beef chain has
always been of conflict, beef producers aiming at higher
quality market segment fail to capture the real potential of the
product deriving from better attributes. Better quality
attributes are not transmitted to the consumers either.
However, the analysis revealed the existence of a great
competitive potential. It would derive from available strategic
resources in the territory (genetics pool; animals which are
grass fed; large extensions of pastures; good climate and soil
conditions; the presence of meat processing plants certified
for supplying the expor t market, the political power of
producers’ associations, a network of scientific-research
stations; universities and cultural tradition). Nevertheless, all
these elements need to be worked in a coordinated form in
order to obtain sustainable competitive advantages. Such a
lack of coordination in the beef chain hinders the promotion
of stricter health and safety inspection criteria, quality attributes
that determine reliability on the product consumed so that
actors would have an incentive to produce beef with more
specificity.
In order to reverse this situation, the setting up of a Local Agrifood
System (L AS) attempted to exploit the existing strategic
resources present in the territory. As a result, Indication of Origin
of the ‘Meat of the Gaúcho Pampas’ was conferred by the
Brazilian Institute of Intellectual Proper ty (INPI). The L AS in
question is situated in the Pampa Region (see map in the
appendices). The next section will deal with the analysis of
indication of origin in beef.
Indication of Origin as a source of Competitive
Advantage for Beef
The project ‘Meat of the Gaucho Pampas’ star ted in 2004
through a par tnership between private and governmental
organisations under the leadership of farmers from the region.
It consists of a program for quality meat cer tification that
would enable product differentiation through aggregation of
value to the cattle. The programme aims at enabling the beef
produced to reach a larger consumer market either
domestically or internally. As a result of the interventions, it is
expected that a better final product quality would result so
that it would enable the producers to obtain a better
remuneration, thus allowing them to continue investing in a
program of improved quality.
From the literature review, the configuration of L AS in the
Pampa region means that all those in the beef chain
operating within a specific territory, seek to achieve a
sustainable competitive advantage through the use of
common strategic resources. The region has many strategic
resources: a privileged ecosystem, extensive native
grasslands, production based on year-round outdoor grass
feed cattle, European cattle genetic base, animal welfare
a t s l a u g h t e r, f a r mer ’ s t a c i t k n o w - h o w, a n e t w o r k o f
A Quarterly Journal
86
agricultural research stations, rich culture and tradition of the
people. However, for the strategic resources present in the
LAS to become competitively sustainable, it is necessary to
employ technological, organizational and institutional
innovation. The expected outcome would be transparency,
value added, lower transaction costs, less oppor tunism,
and a unique fiscal and health standards so that the
specificity of the assets can be explored.
As addressed before, an important aspect for the improvement
of a supply chain is the management and coordination of such
a system. If this is possible the collective action becomes
fundamental for the creation of new opportunities and new
spaces of action for the agents involved. For this Pampas beef
LAS to become competitive, the authors’ analysis shows that
it is a necessary change in the attitude of the agents.
Opportunistic behaviour of agents is a problem identified by
Rocha et al (2001), amongst others, that has determined the
collapse of many productive arrangements. Malafaia et al.
(2005) identified in another case that in region delimited by
the gaúcho L AS in the locality of Bagé, shor t-term vision by
some of the agents has broken the cooperation behaviour
and eroded the competitive advantage state in livestock
farming. Therefore, the authors suggest a change of behaviour
moving from a shor t-term vision to medium and long-term to
enable the building of trust amongst farmers. This is crucial in
order to reverse the unfavourable present situation of the
livestock farming in that region.
Therefore, the benefits of operating within LAS are evident.
Without the arrangement of L AS many projects and initiatives
of productive arrangements in the beef chain would have
been abandoned. To be successful, L AS must share a
cooperative action and a coordination of strategies by its
agents. According to Meyer-Stamer (2001), it is frequently
the failure of experiences that stimulate co-operation between
companies of the same sector in a determined locality.
Following this, the collective construction of coordination
becomes fundamental for the sustainability of that system,
therefore it provides a reconciliation of the heterogeneity of
the individuals and their unified principles, generating rules
and a basis of coordination. Farmers in collective
arrangements such as this of the gaúcho beef have been
able to introduce productivity improvements in the livestock
far ming activity of the Pampa’s L AS. The resulting quality
improvements are reality and the marketing of the beef
exploiting the Indication of Origin (IO) status marks an
impor tant evolution for such a traditional sector.
Obtaining Indication of Origin means that a product, which
has originated within a specific territory, in a region or a
country following a set of quality, reputation or other
characteristics, can essentially be attributed to this specific
geographical location. What distinguish the ‘Pampas’ biome
are the natural characteristics that enable additional value to
be added to the beef product. The geographical distribution
of such an Indication of the Origin that qualifies the beef
encompasses the municipalities in the Pampas region as
identified in the map in the appendices. Likewise, the
requirements to qualify for the IO ‘Meat of the Gaúcho Pampas’
can also be seen in the appendices. The indication of origin
stamp of the ‘Meat of the Gaúcho Pampas’ identifies the type
of cattle, sex, progenitors, locality, age, type of feed
consumed etc. However, it mainly depicts the fulfilment of
an assembly of requirements that guarantees the quality of
the product and that should be continued in all of the links
of the productive chain.
87
Final Considerations
This study attempted to contribute to the argument of the
inser tion of the gaúcho livestock farming in the agribusiness
competitive environment context. Its contribution relies on
a better understanding of the interventions regarding the
strengthening of one agrifood cluster following the notion
of development of strategic resources as proposed by
Requier-Desjardins (2002). Following the arguments
presented here, it is perceived that there is an enormous
oppor tunity for such a livestock system to penetrate specific
niche markets. However, willingness to cooperate and the
organization required between these economic agents is vital
for capturing and supplying both potential and existing
demands. In view of this, the concept of L AS gathers
impor tance because it is possible through the realisation of
an association of techniques, typical products, production
styles, territory, natural resources, collective actions and
organization of the activities of production. The efficiency
of L AS is a link between territory and innovation, provided
by the process of collective action, as well as by the reduced
costs of transaction due to the proximity between the
Appendices: Map of the Geographical Indication area (27ºS to 33ºS 49ºW to 57ºW)
Meat of the Gaúcho Pampas identified in the municipalities of Bagé, Hulha Negra, Dom Pedrito, Lavras do Sul, Candiota, Pedras Altas,
Aceguá, e Pinheiro Machado.
Logo of the Programme
CARNE DO
da Campanha Meridional
A Quarterly Journal
88
Requirements for achieving Indication of Origin Status
♦
Animals of European breed either Hereford and Angus and their hybrids which are fed exclusively
on native pastures or improved native (cultivated winter lots) pastures.
♦
The herd should remain a minimum of one year within the IO region.
♦
Set of animal husbandry practices: age of the animals for slaughter (42 months) following weight, fat
and carcass conformation.
♦
The monitoring system of animals since its birth.
♦
Certification of animals, not properties.
♦
Slaughter houses following strict industrial process (checking of animals, slaughter, approval of the
carcasses, identification of the carcasses with the geographical identification, release of bones and
maturation of the meat) and tag of cuts.
♦
Producers belonging to APROPAMPA – Association of the Producers of the Meat of the Pampas. Under
this program some 200 cattle ranchers have signed up to the scheme. The association closely monitors
all the process of certification, also functioning as a regulation council. The project foresees the adhesion
of 300 cattle dealers until June 2007, and a total of a thousand until June 2010. The link with processing
are two slaughter houses which are part of the scheme. One of the goals of the program is to increase
the exports of meat in natura to 97 thousand tones until 2007 (Diário Popular, 2005).
agents. The impact of the environment of trust and
the feeling of shared identity amongst the actors also
allow for reductions in the costs of transaction inside
the L AS.
Finally, the evidence presented in this study confirms
that the Local Agrifood Systems are viable alternatives
for the inser tion of livestock far ming in the competitive
environment. In future studies the authors suggest
fur ther investigating the social constr uction regarding
The RBV theory provides a consistent foundation for better
understanding the possibilities of inser tion of the livestock
farming in the competitive environment. The factors that were
considered before as competitive bottlenecks (decrease scale
production; low use of the technology and inputs; cultural
and territorial characteristics etc.) actually become impor tant
factors of competitive differential. It is highlighted that these
competitive advantages are specific to each locality, being
difficult to be copied. However, the present strategic
resources in the territory will only provide sustainable
advantages if the resources are utilised by the agents in a
coordinated basis.
A Quarterly Journal
the concept of coordination in territories where the
economy of the conventions would fit, and its
relationship with the sustainable competitive strategies
in the light of the RBV theory.
References
Altenburg, T. and Meyer-Stamer, J. “How to promote
Clusters: policy experiences from Latin
America.” World Development. Vol. 27, No.
9, 1999. 1693-1713.
Barney, J. “Firm Resource and Sustained Competitive
Advantage.” Jour nal of Management. Vol.17. No.
01, 1991.
Borray, G. R. “La Multifuncionalidad de Los Sistemas
Agroalimentarios Locales: Un análisis desde la
perspectiva de tres casos en Colômbia.” Colloque
Syal Systèmes Agroalimentaires Localisè: Produts,
Enterprises Et Dinamiques Locales. 16-18 octobre.
Montpellier, France: 2002.
Boucher, F., Sautier, D., Bridier, B., Muchnik, J. and RequierDesjardins, D. Globalización y evolución de la
agroindustria rural en América Latina: Sistemas
Agroalimentarios Localizados. Serie documentos de
trabajo PRODAR No. 10. Lima, Perú. 2000. 40.
Breda, N.L. and Santos, A .C. “Coordenação de cadeias
agroalimentares locais: uma estratégia para as
pequenas atividades familiares.” XVIII Congresso
Brasileiro de Economia e Sociologia Rural – SOBER,
Rio de Janeiro, 2000.
Brown, W. J. “Agribusiness Cases.”Supply Chain Management:
th
13 International Farm Management Congress,
Netherlands, Wageningen -July 7 th -12th, 2002.
Casaroto Filho, N. and Pires, L.H. Redes de Pequenas e Médias
Empresas e Desenvolvimento Local. São Paulo: Atlas,
SP, 1998.
Centre de Coopération Internationale en Recherche
Agronomique pour le Dévelopment – CIRAD. [online] Available from www.cirad.org.br. Accessed on
20/06/2005.
Cordova, P. “Cuando los arboles dejan ver el bosque: impactos
territoriales de la florestacion en el Uruguay.” Linck,
T., Schiavo, C. (ed.). Globalizacion Y Território. Nueva
Ruralidad, Patrimônios Colectivos Y Sustentabilidad
En La Cuenca Del Plata. Editorial Nordan– Comunidad.
Montevideo, Uruguay, 2003.
Coutinho, L. and Ferraz, J. Estudo da Competitividade da
Industria Brasileira. Editora da Unicamp – 3.ed.
Campina, SP, 1995.
A Quarterly Journal
89
COZZARIN, B. P. and BARRY, P.J. “Organizational Structure in
Agricultural Production Alliances.” International Food
and Agribusiness Management Review. 1 (2):
1998.149-165 .
Diario Popular. For te impulso à pecuária regional.
Pelotas 21/08/2005. [on-line] Available from
<www.diariopopular.com.br>.
Dominguez, A. “El desarrollo local en el marco del processo
de globalizacion.” Linck, T., Schiavo, C. (ed.).
Globalizacion Y Ter ritório. Nueva Ruralidad,
Patrimônios Colectivos Y Sustentabilidad en La
Cuenca Del Plata. Editorial Nordan – Comunidad.
Montevideo, Uruguay: 2003.
Euclides Filho, K. “Supply Chain Approach to sustainable Beef
Production from a Brazilian Perspective.” Livestock
Production Science . 90: 2004. 53–61.
Farina, E. “Challenges for Brazil’s Food Industry in the Context
of Globalisation and Mercosur Consolidation.”
International Food and Agribusiness Management
Review, 2(3/4): 2001. 315–330.
Ferreira, G. “Alianças Empresariais em Cadeias de Produção:
Estrutura, Motivação e Estratégias na Produção de
Carne Bovina.” Anais do I Encontro de Estudos em
Estratégias, Curitiba: 2003.
Fleury, A. and Fleury, M.T. Estratégias Empresariais e Formação
de Competências: um quebra-cabeça caleidoscópio
da Industria Brasileira. São Paulo: Atlas: 2000.
Forsman, S. and Paananem, J. “ Local Food Systems: Explorative
Findings Finland.” Colloque Syal “ Systèmes
Agroalimentaires Localisè” : Produts, Enterprises Et
Dinamiques Locales. 16-18 octobre. Montpellier,
France: 2002.
Fürstenau, V. “Pecuária de corte: baixos índices zootécnicos
e eficiência no setor expor tador.” INDICADORES
ECONÔMICOS FEE / Fundação de Economia e
Estatística Siegfried Emanuel Heuser. Por to Alegre.
Vol.32., No.01, 2004.
Giordano, S. R. “Mapeamento Internacional de Redes Orgânicas
Cer tificadas.” IV Congresso Inter nacional de
Economia e Gestão de Redes Agroalimentares. FEA /
USP -Ribeirão Preto, Brasil: 2003.
Goodman, D. and Goodman, M. “Place, Space and Networks:
geographies of sustainable consumption.” Social
Science. Vol.1:97-119. May. Elsevier Science, 2001.
Grant, R. M. “The Resource-based Theory of Competitive
Advantage: Implications for Strategy Formulation.
California Management Review, Vol. 33, No.3, 1991.
114-135.
Hansen, P. Um Modelo Meso-Analítico de Medição de
Desempenho Competitivo de Cadeia Produtivas. Tese
de Doutorado. PPGEP/UFRGS, Porto Alegre, RS 2004.
Hart, L. S. “A Natural Resource base view of the firm.” The
Academy of Management Review. Vol.20 (4) October:
1995. 986-1014.
Jank,
M.S.Competitividade do Agribusiness Brasileiro
Discussão Teórica e Evidencias no Sistema Carnes.
São Paulo. FEA/USP.. tese de Doutorado, 1996.
Karantininis, K., Zylbersztajn, D. “The Global Farmer: Typology,
Institutions and Organization.” 15th Annual Iama World
Forum -Chicago, Illinois, USA: 2005.
Lambert, D. “Supply Chain Management: What does it envolve?”
Supply Chain and Logistic Journal, Vol.4, Issue 4,
Canadian Association of Supply Chain and Logistics
Management, Canada: 2001.
Lazzirini Neto, S. Pecuária de Cor te: a nova realidade e
perspectivas no agribusiness. Lazzarini and
Associados. São Paulo SDF Editores: 1996.
Linck, T. and Schiavo, C. (ed.). Globalizacion y Território. Nueva
ruralidad, patrimônios colectivos y sustentabilidad
en la Cuenca del Plata. Editorial Nordan – Comunidad.
Montevideo, Uruguay: 2003.
Lyns, H. Território, Cultura e Inovação. A Ótica dos Sistemas
Agroalimentares Localizados. In: IX Encontro
Nacional de Economia Política. Uberlândia – MG,
Brasil: 2004.
A Quarterly Journal
90
Malafaia, G.C., Talamini, E. and Blume, R. “A caracterização de
um cluster pecuário no município de Bagé / RS.” XXV
ENEGEP -XI International Conference on Industrial
Engineering and Operations Management. Por to
Alegre, RS, Brasil: 2005.
Meyer-Stamer, J. “Estratégias de Desenvolvimento Local e
Regional: Clusters, Política de Localização e
Competitividade Sistêmica.” Policy Paper. ILDES Friedrich Ebert Stiftung. 2001. [onb-line] Available
from <http://www.fes.org.br>.
Pedrozo, E. and Hansen, P. “Cluster, Filiere, Suply Chain, Redes
Flexíveis: uma Analise Comparativa.” Colóquium As
Relações Econômicas Franco-Brasileiras / Coloque
“Lês Relations Industrielles Franco-Bresiliennes.
Grenoble, France, Ecole Superieure dês Affaires /
Université Pierre Mendes – France – Grenoble 2. 2001.
29-30.
Penrose, E. T. The theory of the growth of the firm. New York:
Wiley, 1959.
Peteraf, M. A. “The Cornerstones of Competitive Advantage:
A Resource based view.” Strategic Management
Journal. Vol.14, 1993. 179-191.
Pigato, G., Silva, A .L. and Souza Filho, H.M. “Alianças
Mercadológicas: A busca da Coordenação na Cadeia
de Gado de Corte Brasileira.” II Workshop Gestão
dos Sistemas Agroalinentares. PENSA/FEA/USP.
Ribeirão Preto, 1999.
Porter, M. A Vantagem Competitiva das Nações. Rio de Janeiro:
Campus, RJ, 1990.
Reardon, T., Codron, J-M., Harris, L. B. and Craig, J. “Global
Change in Agrifood Grades and Standards:
Agribusiness Strategic Responses in Developing
Countries.” International Food And Agribusiness
Management Review, 2(3/4): 2001. 421–435.
Requier-Desjardins, D. “A g r o - I n d u s t r i a R u r a l y S i s t e m a s
Agroalimentarios Localizados: ¿Cuáles puestas?” X
Aniversario De Prodar, Quito, Peru. Noviembre De
1999.
91
Requier-Desjardim, D. “Multifonctionnalité, territoire et secteur
alter nativo de gestion ter ritorial par ticipativa y
agro alimentaire: une approche par lês “systèmes
sustentable en Microcuencas del sur de Uruguay.”
agroalimentaires localisés.” CAHIERS DU C3ED.
Linck, T. and Schiavo, C. (ed.). Globalizacion Y
Centre
pour
Território. Nueva Ruralidad, Patrimônios Colectivos
l’Environnement et le Développement. Université de
Y Sustentabilidad En La Cuenca Del Plata. Editorial
Versailles Saint-Quentin-en-Yvelines. Cahier n°02-01.
Nordan – Comunidad. Montevideo, Uruguay, 2003.
d’Economie
et
d’Ethique
Juin, 2002.
Sterns, J and Peterson, C. “The Globalisation of Smaller AgriRe q u i e r - D e s j a r d i n s , D ; B o u c h e r, F. a n d C e r d a n , C .
Food Firms: A Decision – Making Framework tested
Globalisation, Competitive Advantages and the
Evolution of Production Systems: Rural Food
Processing and Localized Agri-Food Systems in LatinAmerican Countries. Entrepreneurship and Regional
Development. Routledge. Volume 15, Number 1.
Pages. 2003. 49-67.
through Case Research.” International Food And
Agribusiness Management Review, 4, 2001.133 –
148.
Velarde, I., Garat, J.J., Marasas, M. and Seibane, C. “Sistemas
de producción locales en el Río de La Plata,
Argentina: concertación de actores, diferenciación
Rocha, J.C.M., Neves, M.F. and R.B. Lobo. “Experiências com
y valorización de productos típicos.” Linck, T. and
Alianças Ver ticais na coordenação da Cadeia
Schiavo, C. (ed.). Globalizacion Y Território. Nueva
Produtiva da Carne Bovina no Brasil.” III Congresso
Ruralidad, Patrimônios Colectivos Y Sustentabilidad
Internacional de economia e gestão de negócios,
En La Cuenca Del Plata. Editorial Nordan –
Ribeirão Preto. Anais. Ribeirão Preto:FEA-USP 2001.
Comunidad. Montevideo, Uruguay, 2002.
S E B R A E / FA R S U L / S E N A R . D i a g n ó s t i c o d e S i s t e m a s d e
Zilbersztajn, D. and Machado Filho, C.P. “Competitiveness of
Produção da Bovinocultura de Cor te do Estado do
meat Agri-food Chain in Brazil.” Supply Chain
Rio Grande do Sul. Relatório. Por to Alegre. 2005.
Management International Journal. V.8, N.2, 2003.
261 pg.
Williamson, O. E. “Comments by Oliver Williamson.” Jensen,
Schmitz, H; Nadvi, K. “Clustering and Industrialization:
M.C., Meck-Ling, 1992.
Introduction.” World Development. Vol. 27, No. 9,
1999. 1503 – 1514.
W. Specific and general knowledge, and organizational struture.
In: WERIN, Lars, Wijkander, Hans (eds.). economics.
Schiavo, C. “El Espacio Rural y sus Atores. Un Proyecto
A Quarterly Journal
Blackwell.
92
Case of Singruali
“Energy Smartness”
Ashok Kumar Tiwari and Atul Pandey
The effor t required to manage energy effectively will var y between companies and depends on
the company size, and energy intensity (energy costs expressed as a percentage of total company
costs) and the current level of efficiency. Energy management requires a logical and comprehensive
management approach and it needs managerial decision making based on energy data analysis.
This paper presents comparative analysis of energy management in industries in Singrauli area of
M.P. On the basis of this analysis, calculation of energy saving will be made. The research methodology
used is collection of primary data through energy meters and secondary data from questionnaire
and interviews from opinion leaders and general workers of selected industries. The energy efficient
industries were measured on 1000 point scale based on the data analysis and calculations for
energy savings were made.
E
nergy Management is the science involving planning,
energy performance by following a few simple techniques. As
directing, controlling the supply and consumption of energy
with any business strategy, strategic energy management
to maximize productivity and
incorporates a few fundamentals:
comforts and minimize the energy
1. Get senior management
cost and pollution with conscious,
commitment
judicious and efficient use of
energy. The basic objective of energy
2. Assess current situation
management function is to see that
energy needs of the company are
3. Set goals and targets
satisfactorily met at minimum cost at
present and in future to extend
4. Establish an action plan
possible. Strong commitment from
5. Allocate resources
top management is essential for a
Mr.Ashok
Kumar
Tiwari,
Addl.
Executive
Engineer,
MP
successful energy management
Po w e r Tr a n s m i s s i o n C o m p a n y L t d . , S i n g r a u l i ( M . P. )
6. Implement plan
programme which includes managerial 486889, E-mail [email protected]
decision making.
7. Review and evaluate
However, managing energy does
not necessarily require a formal
system; any firm can improve their
A Quarterly Journal
D r. A t u l P a n d e y , S r. L e c t u r e r, D e p t t . o f B u s i n e s s
Administration, A .P.S. University, Rewa (M.P.) 486001,
E-mail [email protected]
Companies that are already utilizing
quality and/or environmental
management systems such as ISO
9000 / 14001 will undoubtedly find the implementation of a
formal energy system familiar, as the method and management
of the system should follow the structured ‘plan-do-checkact’ approach. Ideally, to provide an integrated approach to
business sustainability, it is strongly recommended that energy
management be incorporated into existing systems.
Energy strategy spans a number of the key functions within a
firm and therefore requires cooperation and commitment from
all. Senior management provides the leadership and set
direction; finance is involved to ensures the most appropriate
purchasing decisions are made; production, as the key user,
ensures that energy is used appropriately; engineering ensures
that plant is operated and maintained efficiently and HR is
involved to facilitate training and help generate a culture of
energy awareness.
93
The most successful energy management strategies typically
involve the setting up of an energy management team with
par ticipants from each of the functions mentioned above.
This team would suppor t a dedicated energy manager with
responsibility for the coordination of energy management
activities. Depending on the size of the business, this may or
may not be a full-time, dedicated post. The team in
association with senior management would establish an
energy management policy, which should include general
aims and specific energy cost reduction targets, timetables
and budgetary limits, the methods to be employed and the
organisation of management resources. The energy manager
should set up a system to collect, analyse and report on
energy consumption and costs. This can consist of reading
meters on a regular basis and the analysis of utility bills i.e.
gas, fuel oil and electricity.
Fig. 1:
Drivers for Company Energy Management
How Energy Management can impact Corporate Planning
Business Opportunities
• Most efficient use
• Suply/Price Management
• Opportunities to sell energy
products, services, credits etc
Potential Risks
• Supply Reliability
• Key Fuel Availability
• Regulations
• Geopolitics
• Others
Company Positioning
• What kind of company are we?
• Where do we stand on key
issues?
Strategic Energy Management Process
Step 1: Initial Assessment
There are four steps in the overall process:
• Step 1: Initial Assessment
• Step 2: Design the Process
• Step 3: Evaluate Opportunities
• Step 4: Implementation
This first step involves a thorough, organization-wide assessment
of the importance of energy to the company in relation to its overall
needs, risks, goals, image and reputation, and of potential business
opportunities through energy-related products or services. Properly
implemented, the assessment can provide clear direction as to the
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potential inherent in a strategic approach to energy planning
and management. The key question posed by the assessment
process is “what are the business oppor tunities related to
energy?” This framework provides the context for evaluating
energy as more than simply a cost of operation.
Companies that have embarked on such an evaluation have asked
themselves very fundamental questions about how energy relates
to:
♦ Potential business opportunities;
♦ Potential business risks; and
♦ The overall “positioning” of the company
94
The bottom line is that while cost is an increasingly important
factor, companies evaluate the impor tance of energy from
multiple perspectives. Other factors such as risk
management, reputation, and even product-line issues may
carry weight as well. As Howard Stanley of Corning, Inc.
observes: “Cost and consumption are key elements of
managing energy. You have to gather your data and
implement strategies to affect the factors you can control.
Even if your energy dependence is low, if energy is important
to your company, then a review is justified.” The outcome
of this step is a decision: to go forward with a more strategic
approach to energy management, or not.
Fig.2: Energy Planning and Management Strategy
Efficiency
Measures
Supply
Options
What is the best
way(s) to meet this
need?
Step 2: Design the Process
The design and planning process begins with an assessment
of a company’s actual energy needs versus “business as usual”
practices and an investigation into the most promising
solutions for meeting those needs. Taking this approach—
asking the fundamental question of “how much energy do
we need?”— encourages thinking beyond the familiar and
the comfor table and exploring possibilities for innovation. It
is impor tant that process design and planning consider all
factors that could inhibit success, from corporate culture to
appropriate scale to resources, funding and organization.
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Products and
Services
Key Questions to consider:
♦ At what scale should we initially approach energy management:
a single facility or division, or enterprise wide? This decision is
driven by the potential for success in the early stages and
consequent sustainability of the overall management process.
♦ What technical and financial resources are available (this is closely
related to the scale question): are they internal, external, or
both? What are the competing priorities for these resources?
♦ Are there programs or processes already in place (e.g. Six
Sigma) with which energy management could be integrated?
These and other questions frame the overall approach that a
company will choose and can greatly influence the chances for
early success, which is critical to establishing a sustainable
management process that will maximize potential benefits.
Step 3: Evaluate Opportunities
This step is the “nuts and bolts” of the energy strategy and
management planning process because it is where real
oppor tunities can be realized. It is where the “real work gets
done,” but because of its potential size and complexity,
especially in larger, diversified and energy intensive businesses,
if not well mapped out and systematically approached,
significant opportunities may be missed, or momentum may
be lost that will be difficult to regain. Essential to this third and
crucial step in the process is a baseline that reflects the types,
quantities, and costs of energy used in each significant
component of the business. Ideally this will include facilities,
operations, and transportation and distribution, and in some
cases even the energy consumed by the product itself,
especially if that issue is increasing in impor tance in a business
95
sector. Also, for cer tain companies, this will include an
assessment of new or expanded energy-related products and
services that may benefit the company.
Opportunities fall into three categories, although not all will be
relevant for all companies:
♦
♦
♦
Energy efficiency reduces the amount of energy used,
reducing both cost and environmental impact.
Energy supply management can help to control costs
and assure reliability.
Energy related products and services can help existing
products to be more competitive in the marketplace
or create new markets.
At any point in time, in addition to the cost of energy, a range of
factors influence the opportunities that are available. Because
these influencing factors, including energy cost, are dynamic, a
strategic approach to energy planning and management must
be dynamic and iterative rather than static. Only in this way will
opportunities be continuously identified and realized.
Fig. 3: Factors influencing Energy Opportunities at a Given Point in Time
Existing products, process,
capital facilities and
equipment
Work practices and reward
systems in place
Opportunities at a
point of time
Cost of Energy
Step 4: Implementation
This four th and final process step follows a classic
management system model and involves determining and
setting in place an organizational structure that will ensure
that the program is integrated into the overall company
management culture and that the new energy management
goals are achieved. Regardless of the framework decided
upon, cer tain management principles and tools must be in
place to achieve significant results.
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These include:
♦
♦
♦
♦
Leadership at the very top of the company with a clear
commitment to results;
Clearly stated goals and measurable objectives at
appropriate levels;
Clear accountability for results, whether in a single or
multiple executives;
Sufficient resources to enable achievement of
the objectives and goals;
♦
♦
96
♦ Making equipment changes or implementing new techniques
and new technologies involving large investments leading to
capacity utilisation and major energy savings having paid back
more than 2 years (Long-Term Measures, High Cost
Alternative)
Periodic review and updating of goals, objectives and
resource commitments; and
Recognition of progress and reward for achievements.
Strategic Management Model for Energy
Cost Reduction in Industry
This study aims to analyze power cost economics based on
above information and methods the critical evaluation of
managerial decision making in energy management in industries
of Singrauli area under Rewa commissionary of Madhya Pradesh
in India was made. The study in some of the industries in Singrauli
area carried out as:
One simple and widely adopted management system model
and guidelines has been developed. The various
implementable guidelines recommended for energy
conservation measures in industries are:
♦ Reducing energy consumption through operational
improvements resulting in little or no investment with
immediate pay back/within one year (Short-Term Measures)
♦
1.
2.
3.
4.
5.
6.
Making low-cost modifications and improvement to
existing equipment having the pay-back period less
than two years (Medium-Ter m Measures/Low Cost
Alternative)
Northern Coal- fields Ltd. (NCL – A subsidiary of Coal
India Ltd.)
National Thermal Power Corporation (NTPC)
Renusagar Power Company (Aditya Birla Group)
IDL Industries Ltd. (Hinduja Group)
Rewa Gases Pvt. Ltd., Waidhan [RGPL]
Vindhyachal Air products Pvt. Ltd. [VAPL]
Fig. 4: Guidelines for Energy Management
Make Commitment
⇓
Assess Performance and
Set Goals
⇓
Create Action Plan
Recognise Achievements
Implement Action Plan
Evaluate Progress
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STAGE - 1
97
Fig. 5: Strategic Model for Energy Management
SAVING
10-30%
ENERGY AUDIT LOSS
REDUCTION TUNING OF MINES
STAGE - 2
SAVING
5-25%
FOR ENERGY EFFICIENCY
TRAINING OF PERSONNEL
MONITORING AND TARGET
P R O C E S S O P T I M I S AT I O N
STAGE - 3
I N S T R U M E N TAT I O N A N D
SAVING
20/70%
CONTROL
TIME-WITHIN 1 YEAR CAPITAL
INVESTMENT-SMALL
EQUIPMENT MODIFICATIONS
NEW PROCESS TECHNOLOGY N E W
TIME-ONE TO TWO YEAR CAPITAL
ENERGY EFFICIENT EQUIPMENT
INVESTMENT-MEDIUM
EQUIPMENT MODIFICATIONS
TIME- MORE THAN TWO YEARS
CAPITAL INVESTMENT - LARGE
Research Methedology
The research technique used for study of energy management in
industries in Singrauli Area is as follows:
A thorough search of the secondary sources of information related
to energy conservation and management have been made from
documents of Coal India, NTPC, various journals/ periodicals in
the energy economics and management and records of Northern
Coalfields Limited Singrauli, NTPC and other industries.
Experience survey was made as an attempt to tap the experience
and expertise of knowledgeable persons such as operating
managers, General Managers, chief engineers of industries in
Singrauli through a series of structured interviews, questionnaire
and discussions, (including workman), they are requested to
give their views and opinions on various aspects of energy
management.
Energy audit of mines of NCL and other industries in Singrauli was
made and studied with the purpose of probe deeply and analyze
carefully for energy conservation measures and its fur ther
implementation in new areas of recommendations. Energy audit
involves an in-depth study of all major energy consuming
equipments at all stages of production to achieve significant energy
saving through a systematic and comprehensive study.
The following approaches applied to each important equipment,
process and plant:
A Quarterly Journal
♦
♦
♦
♦
Questioning the need
Minimizing the end use and losses.
Minimizing idle/ redundant running
Running machines at full/ optimum capacity.
Analysis would include simple pay back calculations where
investments are required to be made to implement
recommendations to establish their economic viability. The audit
used various portable instruments for measurements (Energy meter/
energy monitor, P.F. meter, Lux meter, Digital multimeter/ Power meter,
Hour meter, Leak detector, Time study etc.) at a different mining/
non-mining project under NCL and other industries in Singrauli.
The following key tasks of energy management were conducted
and final recommendations were suggested:
♦
♦
♦
♦
♦
Energy data collection and analysis
Energy purchasing supervision
Energy conservation project evaluation
Energy project implementation
Communication and public relations
On the basis of above data, calculation of energy saving was made.
The present efforts for energy management taken by industries will
be studied and accordingly new methods for energy management
and monitoring system will be suggested in an orderly and effective
manner with on-going and continuous exercise.
The power cost economics, cost benefit analysis and advantage
of energy management in overall performance of industries in
Singrauli was studied and recommended.
Methods of Data Collection
A. Primary Source
♦
♦
Measurements of Energy inputs and outputs at various
units of industry in KWH , KVARh and Maximum demand
in KVA
Measurements of illumination level at various units of
industry in lumens
B. Secondary Source
♦
♦
♦
♦
Energy bills of the company for past 5 years [electricity deptt.]
Diesel and other fuel bills of company for past 5 years
Questionnaire for workers
Questionnaire for opinion leaders
a.
The questionnaire for workers
It contains twelve question in Hindi /local language to assess workers
awareness on energy saving and energy management.
98
b. The Questionnaire for Opinion Leaders
It contains about 100 questions in the form of Yes/No. These
questions were asked about many aspects of energy management
in company such as –
♦ Management commitment
♦ Strategic planning
♦ Monitoring, measurement and continual improvement
♦ Resource management
♦ Process management
♦ Reduction in specific energy consumption
♦ Resource optimization
♦ Waste minimization
♦ Reduction in pollution
♦ Greening supply chain
♦ Use of non-conventional source of energy
The first page of sample questionnaire for opinion leaders is given
herewithOn the basis of various parameters and attributes the ENERGY
EFFICIENT SCALE for industry has been framed. It is a 1000 point
scales and industries under study were given marks on that scale to
determine their energy smartness.
QUESTIONNAIRE
NAME......................................................... COMPANY....................................................... DESIGN.................................................
1. MANAGEMENT COMMITMENT- 100 Points
a)
Energy Management Policy
(20)
Has Organizations top management declared Energy Management Policy ?
b)
Does Energy Management Policy include commitment to (30)
Promote energy savings and conservation of resources reduction in specific energy
consumption?
Minimiz a t i o n o f w a s t e g e n e r a t i o n a n d p r o m o t e r e u s e r e c y c l i n g a n d d i s p o s a l i n
eco-friendly manner in all segments of operation?
Comply with energy legislation/ regulation/ guidelines?
Continual improvement in cost reduction by adopting effective Energy Management
S y s t e m?
Use of renewable energy sources?
c)
Management communicates to the Organizations.
Energy Management Policy and Energy Smart Criteria (30)
Is Effective System of communicating Energy Policy and Energy Smart System criteria applied
to different levels in the organization?
Is there appropriate knowledge and visible commitment at different management levels
on complying with energy policy and Energy Smar t System?
d)
Does Management determine Energy Smart requirements applicable to the organization ensures
incorporation in objectives and targets ? (20)
2. STRATEGIC PLANNING -50 Points
a)
Energy Smart Objectives and Targets
Are Energy Smar t Objectives and Targets determined and established at relevant functions
and levels of the organization?
Are the objectives consistent with Energy Policy and Energy Smart criteria?
Yes
No
Yes
No
Yes
No
Yes
No
Yes
No
Yes
No
Yes
No
Yes
No
Yes
No
Yes
No
Yes
No
Full questionnaire can be given on demand
A Quarterly Journal
99
12
12
12
12
Responses: The Responses on Questionnaire
are given in Table 1
12
Sl.No.
Name of Industry
Quest. for Opinion Leader
Circulated
1
2
3
4
5
6
Nor thern Coalfields Ltd.
National Thermal Power Corporation
Renusagar Power Company
IDL Industries Ltd.
Rewa Gases Pvt. Ltd.,
Vindhyachal Air Products Pvt. Ltd
TOTAL
Responded
Quest. for Workers
Circulated
Responded
35
44
18
6
2
3
28
31
16
5
2
3
150
50
20
19
20
20
87
21
16
19
18
19
108
85
279
180
Results: The results and discussion derived from the research
methodology prepared and the ongoing research works in this
field. The above six industries measured on energy smart standard
and calculations for saving potential has been done.
Table 2: Assessment of Industries and Awarding Points on Energy Smart Scale
QUEST CRITERIA
NO.
1
Management
Commitment
2
Strategic
Planning
3
SUBCRITERIA
NCL
NTPC
RENU
SAGAR
20
0
20
20
0
20
0
30
0
30
30
0
12
0
30
0
30
30
0
0
0
20
0
20
20
0
0
0
100
0
100
100
0
32
0
30
15
30
30
10
15
15
10
10
50
0
10
25
10
10
50
10
10
50
10
0
20
0
5
20
10
10
35
100
90
100
100
30
10
20
Organization setup for
Energy Conservation
10
0
10
10
0
0
0
Provision of Resources
40
40
40
40
20
25
25
TOTAL
50
40
50
50
20
25
45
Energy Management
Policy
E M P includes
commitment
Management communicates
to the organizations
Management determines
Energy Smart requirements
TOTAL
Energy Smart Objectives
and Targets
Energy Smart System Planning
Internal Communication
TOTAL
TOTAL
POINTS
IDL
RGPL VAPL
Monitoring,
Measurement
and Continual
Improvement
4
Resource
Management
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5
100
HR Process
25
0
20
25
0
15
15
Engineering Process
25
11
21
25
23
9
11
Pruchasing Process
25
0
5
0
0
0
0
Production Process
50
34
50
50
26
14
34
Other Organization Processes
25
0
25
25
0
0
0
TOTAL
150
45
121
125
49
38
60
R1 Reduction in Specific
Energy Consumption
150
125
150
150
25
150
100
R2 Resource Optimization
100
64
68
84
48
36
68
R3 Waste Minimization
100
14
58
70
58
16
30
R4 Reduction in Pollution
50
24
20
26
26
0
0
R5 Greening Supply Chain
50
0
0
0
0
0
0
R6 Use of NonConventional Source of
50
25
50
50
0
0
0
1000
452
767
805
246
342
338
Process Management
Energy
GRAND TOTAL
Table-3: Summary of Results
Energy Smar t Grading of Industries in Singrauli Area
Rank
Company
Grade
1
RENUSAGAR
80.5
A
2
NTPC
76.7
A
3
NCL
45.2
B
4
RGPL
34.2
C
5
VAPL
33.8
C
6
IDL
24.6
D
Some Findings
i.
% Points Obtained
Except for NTPC and Renusagar other companies don’t have
energy management cell headed by qualified energy manager.
Smaller companies like IDL, VAPL, RGPL don’t conduct energy
audits of their company which is mandatory under energy
conservation act 2001.
ii. There is no energy management policy in highly energy intensive
industries such as NCL, IDL and VAPL. Other companies as
NTPC, Renusagar, RGPL have energy management policy.
iii. No industry is following greening supply chain criteria.
Companies don’t know whether the suppliers have energy
A Quarterly Journal
smar t criteria or not. No company conducted or
demanded energy smart assessment of suppliers.
iv. Only NTPC and Renusagar having all processes in organization
(administrative/personal inclusive) consider capacity utilization,
energy conservation, waste reduction and continuous
improvement of efficiency.
v.
There is no energy smart system planning found in NCL and
RGPL while other companies having it.
vi. Maximum numbers of labourers and workers are unaware of
any energy policy of company. They don’t know about energy
conservation in their work.
vii. In NCL and IDL there is no reward recognition, career
advancement and motivation method employed to derive
employees toward energy smartness.
Name of
Industry
RENUSAGAR
NTPC
Energy Cost as % of
Production cost
101
viii. Except for NTPC and Renusagar other companies don’t provide
competency development/training of employees in energy
management/conservation.
ix. In IDL much wastage of energy is observed at all levels. All
motors are running at under loading and over heating
conditions. No fine tuning and capacity utilization was found.
x. Free Electricity to all employees in NCL is the main reason of
wastage and heavy consumption in NCL Townships. Some
townships are having electricity consumption at par with
mining projects. Also there is no metering /monitoring of
electricity in individual residential units. This leads high
percentage of energy cost in companies’ overall expenditure.
xi. The energy cost as percentage of production cost,
percentage saving potential and percentage increase in
profitability if all suggested measures of energy
management will be adopted is shown in table below:-
Energy Saving
Potential in %
% Increase in
Profitability
9.11
1.10
2.01
10.01
3.21
2.79
NCL
23.63
14.42
5.81
RGPL
69.20
12.77
4.16
VAPL
71.08
14.36
5.37
IDL
45.66
22.08
9.33
Conclusion
identification and implementation of energy management
plan and solution of problems of power crisis confronting
This study identifies oppor tunity for introducing and testing
of latest/ innovative alternate ideas / process/ equipment/
technology which can result in significant energy-saving and
cost minimization, the emphasis being on those having wide
application in industry.
This study transfers knowledge and experience in the
field of energy management in industry to the operational
managers and engineers. A careful and thorough
presentation of energy management in industries as the
consequence of management decisions will be
underlying theme of this research. The orientation
continues to be operational with an emphasis on
A Quarterly Journal
industries in Singrauli area.
This study will be pin-pointing the reforms and challenges
needed in present energy policy and promote for
awareness of individual’s par ticipation of energy users with
regards to energy management.
This study identifies oppor tunity for introducing and
t e s t i n g o f l a t e s t / i n n o v a t i v e a l t e r n a t e i d e a s/ p r o c e s s /
equipment/ technology which can result in significant
energy-saving and cost minimization, the emphasis being
on those having wide application in industry. All
measures assessed for energy saving and cost therein
involved. A realistic cost benefit analysis carried out
leading to prioritization of various measures and
for mulation of action plan i.e. shor t ter m, low cost
alternative and long term, high cost alternative for its
implementation. This study also suggests and recommends
the future directions for further research. This research will
suggest a new phase of overall cost reduction causing more
profitable in its business in industry through effective energy
management.
References
Anandalingam, G. Policy Incentives for Industrial Energy
Conservation. Discussion Paper N o.02.83. TERI,
New Delhi.
Energy Management Policy-Guidelines for the Energy
Intensive Sector of India. [Repor t No.2000IE68.
Sponsored by: Bureau of Energy Efficiency,
Ministr y of Power, Gover nment of India].
Piper, James. Operation and Maintenance Manual for
Energy Management. Standard Publisher and
Distributor, New Delhi: 2006.
Rajan G.G. Optimizing Energy Efficiencies in Industr y. Tata
McGraw-Hill Publishing Company Ltd., New Delhi:
2005.
102
Company). Proceedings of All India Seminar on
Energy Security, Institution of Engineers (India)
Hyderabad: November, 2006.
Tiwari, A .K., Chandra, V. and Pandey, Atul. “Energy
Management Information System in Power
Distribution Companies.” Proceedings of All India
Seminar on Best Practices in Power Distribution
and Management. Institution of Engineers (India)
Shillong, October, 2006.
Tiwari, A .K., Chandra, V. and Pandey, Atul. “Technology
Management Information System in Power
Distribution Companies.” Proceedings of 10 th
ACSOM at Indian Institute of Management,
Ahmedabad: December, 06.
Tiwari, A .K. and Pandey Atul “Forecasting Electricity Price in
International Electricity Market Using Neural
Networks.” Chapter 3. Maketing in New Global
Order. Book published by Excell books, New
Delhi: 2007.
Tripathi, T.K. and Pandey, Atul. “Innovative Action Plan and
Implementable Guidelines towards Mega Savings
f o r E n e r g y c o n s e r v a t i o n i n C o a l S e c t o r. ”
Proceedings of All India Seminar on Energy
Security. Institution of Engineers (India)
Tiwari A .K. “Linear Mathematical Model for Industrial Energy
Management.” Proceedings of National Seminar
on Mathematics and Computer Science. SDPG
College, Muzaffar nagar (U.P.) November, 2005.
Hyderabad: November, 2006.
Tiwari, A .K., Y.Singh and Pandey, Atul. “Strategic Planning
and
Process
in
Energy
Management
of
Companies.” Proceedings of National Conference
Tiwari, A .K., Chandra, V. and Pandey, Atul. “Energy Data
Analysis in Energy Management of Industries.”
Proceedings. 23rd National Convention of
Electrical Engineers, Institution of Engineers
(India) Cochin: November, 2006.
Tiwari, A .K., Chandra, V. and Pandey, Atul. “Managerial
Decision Making in Energy Management of
Industries- (A Case Study of Renusagar Power
A Quarterly Journal
on Strategic Management. Sihgad Institute of
Management, Pune: January, 2007.
Tiwari, A .K. and Pandey, Atul. “Conservation and Energy
Efficiency in Industries of Singrauli Area.”
Proceedings. Mechex, National Conference,
Gyanganga Institute of Technology and Science,
Jabalpur: February, 2007.
103
Referral Marketing in
Management Education:
An Overview
Malmarugan D.
Referral marketing is making use of existing customers to rope in prospective customers. This paper
seeks to discuss the applications of referral marketing to Educational services. In an era of Global
competition, Educational services require marketing efforts and innovative efforts like referral marketing,
making use of people as the new media, is required. The application of Referral marketing in
Educational services in general and Management Education in particular, is an under-researched area.
This review attempts to draw the attention of policy makers and administrators of Higher Educational
Institutions, the relevance and Importance of Referral Marketing. The article discusses the decision
making process at length, which the students and parents undergo before enrolling to an Institution.
A
now generally accepted that the marketing of services is
sufficiently different from the marketing of physical products to
deserve separate treatment. The four unique characteristics that
distinguish services are intangibility,
inseparability, perishability and
heterogeneity. By their nature, services
cannot be touched, tasted or
possessed; this leads to consumer
difficulty in evaluating an intangible
service offering. A service is inseparable
from the source of the service;
production and consumption take
place simultaneously. Services are
perishable since they cannot be stored;
P r o f. M a l m a r u g a n D . , A s s o c i a t e P r o f e s s o r, S a r d a r
yesterday’s course vacancy cannot be
Vallabhbhai Patel Institute of Textile Management,
sold. Heterogeneity simply means that
1483, Avanashi Road, Peelamedu, (Near
services are difficult to standardize; this
Krishnammal College), Coimbatore - 641 004,
makes it difficult to control quality.
Services differ considerably in the
bsent from research into services has been an extensive
examination of education as a specific marketing problem.
Like many other “professional services” e d u c a t i o n has
tended to eschew marketing. Despite
this neglect, education remains a
service capable of treatment as any
other in terms of marketing theory. In
doing this, an important starting-point
is the classification of education as a
marketable service. This paper
discusses the applications of referral
marketing to educational services.
Educational Services and
Buyer Behaviour
In a recent review of marketing in
service industries, Edgett and
Parkinson (1993) point out that it is
A Quarterly Journal
extent to which they are people-based or equipment-based.
Educational courses including MBAs (other than those by
distance learning) are usually heavily people-based; the staffs
are part of the product.
Assael (1981) suggests that the buyer ’s decision-making
processes vary with the type of decision, and that the more
complex and expensive decisions are likely to involve more
buyer deliberation. Consumers go through complex buying
behaviour when they are highly involved in a purchase and they
are aware of significant differences between brands. Marketing
MBA programmes clearly involve the selling of an expensive
product (in terms of both money and time), significant brand
differences and infrequent buying. Murray (1991) suggests that,
in the face of greater risk and uncertainty, services customers
engage in extended decision processes. There is a distinctive
information acquisition pattern for service customers; personal
sources of information become particularly important.
Until recently there appeared to be little evidence regarding
MBA students’ information-gathering behaviour. Nicholls and
Wong (1998) conducted a study of MBA students’ motives at
seven UK business schools based on 255 mailed questionnaires
and a response rate of 41 per cent. Fifty-three per cent of the
respondents listed personal contacts as being a main source of
information and in total 89 per cent sought some personal advice.
The survey was backed up by a semi-structured interview study
with 27 students. About half of the latter felt that they were
unhappy with the information they had received from the
business schools, and a few thought that the information they
had received had turned out to be quite misleading.
Educational establishments have far to go in terms of
sophisticated marketing, and particularly identifying and tailoring
their offerings to actual market needs. One of the challenges is
to do this and then to communicate to potential customers
and, indeed, to industry generally that they have succeeded.
As far as management courses are concerned this is not made
easier by the speed of change in management theories and in
the marketplace in general. However, unless business schools
succeed in improving their marketing, they will stand accused
of not practising what they preach.
Selling philosophy is probably the least acknowledged yet the
most applied in Higher Education (HE). It captures the broad
understanding which key university managers and marketers
A Quarterly Journal
104
across the world hold about HE marketing. Central to this
philosophy is a desire to achieve a critical mass of publicity
and public awareness about the universities’ offerings. It is
about projecting the right image, providing university
information and maintaining a steady or increasing stream of
applicants through a range of strategies that include advertising,
public or external relations, direct promotion and personal
selling. Research around the world has indicated that marketing
in HE institutions is often very narrowly associated with these
activities (Murphy and McGarrity, 1978; Gray, 1991; Foskett,
1995; Smith et al., 1995; Naude and Ivy, 1999; Ivy, 2002;
Maringe and Foskett, 2002; Maringe, 2004).
Influential Attributes of Higher Education
Institutions
If universities are to satisfy students’ requirements, they must
be aware of their own offerings and how these are perceived
in the market place. Knowing those influential factors and
the associated impact on potential students is impor tant
for institutional policy makers. Secondary research suggests
that the influential variables are location (Gorman, 1976;
Leister and Menzel, 1976; Rober ts and Allen, 1997; Welki
and Navratil, 1987), reputation for academic quality
(Anderson, 1976; Erdmann, 1983; Murphy, 1981), courses
that are available with the benefits that they offer, (Erdmann,
1983; Rober ts and Higgins, 1992; Saunders et al., 1978;
Sevier, 1987; Taylor, 1994; Walker et al., 1979) and career
oppor tunities with employment enhancement (Krone et al.,
1981; Saunders et al., 1978).
Decision Making Stages in the Choice of Education
The purchase of higher education can be considered high
involvement, due to its high cost, high personal relevance,
variety of different alternatives available and time taken to
make the decision (Gray, 1991). Many models of decision
making in relation to high involvement consumer purchases
such as higher education are put forward by many scholars.
By the late 1960s the various strands of the discipline were
combined into comprehensive models of consumer
behaviour and their decision making. Three models proved
to be the most influential: Those presented by Nicosia
(1966), Howard and Sheth (1969) and Engel, Blackwell and
Miniard (1995). These models merely provided a framework
to draw together the various disparate strands of a new and
growing discipline, but were inherently flawed in their
combination because they had little explanatory power and
were generally untestable. It was in terms of the matter that
the models became best known and most influential; as
organising frameworks which allowed for the incorporation
of individual, situational and social influences upon purchase
outcome (Gabbott and Hogg, 1998). Whilst recognizing that
there are a few differences among the three models, they
describe the decision making stage of a cognitive consumer
in the same major ways. That is, the models suggest that
consumers make decisions after moving through various
stages of the decision process and that the process, at least
theoretically, applies to the full range of consumer decisions,
including educational choices (Myers, 1996).
The following discussion is based on the portion of the EKB’s
model (1995) that pertains to the three stages of the prepurchase decision process, namely: (1) problem recognition;
(2) information search; (3) alternative evaluation, followed by
post-purchase stages which are (4) choice and (5) postpurchase evaluation.
Problem Recognition
Problem recognition is the consumer ’s realization that he/she
has a purchase goal stemming from a need that requires a
decision. Engel et al (1995) indicate that problem recognition
occurs when there is a significant difference between a desired
state and an actual state in relation to a particular need. Thus,
needs are the cornerstone upon which all consumer decision
making is based.
In the case of a student, problem recognition occurs when the
student reaches the realisation that he/she needs to study.
Previous research studies (Hill, Romm and Patterson, 1991)
suggest that this stage is quite complex since there are four
aspects that the student considers, namely: (1) the country; (2)
the state/city; and (3) the university. However, the choice of
courses and subjects, which are also impor tant, was not
mentioned in the past literature. It cannot be assumed that
students deal with only one problem at a time. They consider a
sequence of related problems that are associated with higher
education. Since each problem increases uncertainty, a high
level of risk exists which has a direct impact on the remaining
stages of the decision process. Thus, the problem recognition
stage is multi-faceted and more complicated than the EKB’s
model (1995) seems to suggest.
A Quarterly Journal
105
Information Search
Information Search is the collecting of information about a
problem from either internal or external sources. Engel et al
(1995) state that internal search mainly concerns the person’s
memory of previous experiences with a similar type of purchase.
External search includes information from both personal sources,
e.g., family, friends, exper ts and impersonal sources. While
information is deliberately retrieved from the individual’s longterm memory during internal search, information from personal
or impersonal sources is acquired either voluntarily or involuntarily
during external search (Hill, Romm and Patterson, 1991)
Patterson, Romm and Hill (1992) show that students’ expectations
about studying can be conceptualized in terms of four different
dimensions, namely: (1) economic; (2) social; (3) personal;
and (4) learning. Firstly, the economic dimension related to the
students’ ability to obtain and pay for the goods and services
necessary. Secondly, the social dimension involves the quantity
and quality of interactions with other individuals. Thirdly, the
personal dimension pertains to the perception of self and also
changes in perception that results from the sojourn. Finally, the
learning dimension describes the elements directly pertaining
to knowledge and professional skills. The students’ main personal
information sources consisted of parents, relatives, friends,
and agents. Evidence also indicates that newspaper and
television adver tising are not as effective in initiating the
purchase of services with enduring benefits, e.g. higher
education, since these services are more expensive and
require the consumer to be more involved (Zeithaml et
al, 1985). A number of studies suggest that word-ofmouth communication is the most impor tant infor mation
source for many services and can reduce risk for high
involvement services since it gives the consumer the
oppor tunity to receive clarification and feedback.
Consequently, students may go to great length (go to
university fairs in another city) to secure a first-hand
personal source rather than rely on impersonal sources,
e.g. mass media. The main function of impersonal sources
of information for this type of service is, therefore, to
direct students to personal sources of information. The
information is then confirmed with close family members
and friends (Hill, Romm and Patterson, 1991).
Alternative Evaluation
The alternative evaluation stage is the prelude to consumer
choice. It involves organizing the information that has been
gained from the search process, selecting appropriate
criteria, and comparing the various alternatives in relation to
the consumer ’s recognised needs (Hill, Romm, and Patterson,
1991). Engel et al (1995) describe the four major components
that affect the alternative evaluation stage as evaluative criteria;
(2) beliefs; (3) attitudes; and (4) intentions. Evaluative criteria
are the desired outcomes expressed as the preferred
attributes. Beliefs are the perception of an alternative’s
performance on important evaluative criteria. Attitudes are the
evaluation of an alternative’s acceptability. Intentions are the
subjective probability that a particular action will be undertaken.
The alternative evaluation stage differs according to type of
decision making (e.g., high, low, or routinised involvement).
Since higher education for students is an example of a high
risk purchase, it is a high involvement decision in which more
alternatives are considered in an extended problem solving
process. Previous research studies also show that different
rules can be used when evaluating alternatives. Under
conditions of high involvement, consumers have been found
to use a compensatory model in which an overall evaluation is
made of all alternatives before the final decision is reached.
Thus, an alternative is not necessarily rejected because it has
a low rating on any par ticular attribute since a high rating of
another attribute can compensate for it. Hill, Romm, and
Patterson (1991) suggest that in evaluating the options,
students are willing to ignore what they perceive as the
relatively low prestige of a particular university when they
consider other attributes at that same university that can
compensate for it. In the case of education, it appears as if
universities are the only professional services in which service
providers ultimately make the final decision with regard to
acceptance or rejection of every potential customer. It may
seem as if the alternative evaluation stage is quite straight
forward for students, e.g., they apply to a number of universities
and take their chances. In other words, most of the students
not only have a limited amount of alternatives available to
them but also are finally accepted or rejected on the basis of
the university ’s evaluation of them and not vice versa.
However, a closer scrutiny of the alternative evaluation stage
reveals that it is a lot more complex.
Post Purchase Evaluation
Once the pre-purchase stages are completed, the final stage,
A Quarterly Journal
106
which is post-purchase assessment, occurs. This final phase
of the decision process is only concerned with satisfaction
and disposition of the product. The positive evaluation of the
purchase, e.g., meeting or exceeding expectations, would
lead to satisfaction or dissatisfaction.
In other words, this phase of decision-making is seen as an
opportunity to build and create longer term relationships with
the customers (Gray, 1991). The majority of studies in the area
of education have been undertaken after a choice has been
made. If the choice of higher education ranks as one of the
most consequential decisions that an individual has to make,
then student choice, whether it be to study abroad or the
selection of a specific institution and/or course, involves
extended decision-making. This being the case the selection
process is likely to be a complex mix of interrelated and
discrete elements which can vary in sequence, timing and
content (Myers, 1996).
Conclusion
The Educational Services sector is assuming importance, in
the face of domestic and international competition. The main
goal of a higher education institution should be that of
delivering (and continually enhancing) excellence in teaching
and learning and of combining the values of a liberal education
with the professional qualifications required in a globalized
economy. Education being a service requires a different
treatment, as Services marketing is different from traditional
product marketing. Application of marketing concepts to
Educational services is in the nascent stages.
Students while considering Higher Educational Institutions for
enrollment, go through an elaborate procedure, as the
perceived risk and uncertainty are high. A number of studies
suggest that word-of-mouth communication is the most
important information source for many services and can reduce
risk for high involvement services since it gives the consumer
the oppor tunity to receive clarification and feedback. The
decision making models and stages were discussed. The
Evaluation criteria may differ for different groups of students.
The applicability of Referral marketing in each stage with specific
reference to Higher Education was discussed. The attributes
sought after by students from an Educational Institution, are to
be seen as the building blocks of Brand Image for Higher
Educational institutions. These are inputs for planning in the
Management of Higher educational institutions.
The implication for Administrators of Higher Educational
Institutions is how to make use of this under utilized resource,
namely–Referral marketing, to improve the enrollment both in
Qualitative and Quantitative terms.
With the proliferation of institutions offering higher education it is
fundamental that business schools employ the right strategies
and resources that will allow them to achieve their ambitious
goals, while remaining competitive in the evolving global market
for business education.
The scope for further research can be to study empirically among
the stakeholders of Higher Educational Institutions, the influence
of Referral Marketing applications in Management Education.
107
Erdmann, D.G. “An Examination of Factors Influencing Student
Choice in the College Selection Process.” Journal of
College Admissions. No.100, (1983): 3-6.
Foskett, N.H. “Marketing, Management and Schools: A Study
of a Developing Culture in Secondary Schools.”
Unpublished Phd Thesis, University of Southampton,
Southampton: 1995.
Gabbott, M. and Hogg G. “Consumer and Services.” Chichester,
Sussex, England: 1998.
Gray, L. Marketing Education. Open University Press,
Buckingham: 1991.
Bibliography
Hill, C., Romm, T. and Patterson, P. “The Pre-Purchase Decision
Making Process; a Qualitative, Retrospective
Longitudinal Study of Students in Australia.” University
of Wollongong Working Paper. No. 3-92, 1991.
Assael, H. Consumer Behaviour and Marketing Action. Boston,
MA: Kent Publishing Company, 1981.
Howard, J. and Sheth, J. “The Theory of Buyer Behaviour.” New
York: John Wiley, 1969.
Australian Education Foundation, Survey of Students Studying
in Australia. Department of Employment, Education,
Training and Youth Affairs, Canberra: 1997.
Kotler, P. and Fox K., Strategic Marketing for Educational
Institutions, Prentice-Hall, Englewood Cliffs, N.J.:
1985.
Coccari, R. and Javalgi, R. “Analysis of Students’ Needs in
Selecting a College or University in a Changing
Environment.” Journal of Marketing for Higher
Education. Vol.2, No.6 (1995): 27-38.
Krone, F., Gilly, M., Zeithaml, V., Lamb, C.W. “Factors Influencing
the Graduate Business School Decision.” American
Marketing Services Proceedings. (1981): 453-456.
Keywords: Referrals, Decision, Enrolment, Education
Duan, J. “The Influence of Various Factors on Students in
Selecting Universities: A South Australian Study of
Chinese Students from Hong Kong and Malaysia.”
Doctoral Thesis, School of Management, University
of South Australia: 1997.
Edgett, S., Parkinson, S. “Marketing for Service Industries: A
Review.” Service Industries Journal. Vol. 13 No.3
(1993): 19-39.
Eric Cornuel. Challenges Facing Business Schools in the Future,
Journal of Management Development. Volume 26
Number 1 (2007): 87-92.
Engel, J.F., Kollatt, D.T., and Blackwell, R.D. Consumer Behaviour,
6th Edition, Illinois: The Dryden Press, 1995.
A Quarterly Journal
Lawley, M. “Factor Influencing the Choice of Destination in
Education: The Case of Hong Kong.” Masters Thesis.
Faculty of Business, University of Southern Queens
land, 1994.
Leister, D.V, Menzel, R. “Assessing the Community College
Transfer Market.” Journal of Higher Education. Vol.47
(1976): 661-680.
Maringe, F., Foskett, N.H. “Marketing University Education: The
Southern African Experience.” Higher Education
Review. Vol.34, No.3 (2002): 35-51.
Maringe, F. “Vice Chancellor ’s Perceptions of University
Marketing: A View from Universities in a Developing
Country.” Higher Education Review. Vol.36 No.2,
(2004): 53-68.
Murphy, P., McGarrity, R.A. (1978), “Marketing Universities: A
Survey of Student Recruiting Activities.” College and
University. No.Spring, (1978): 249-261.
Murray, K.B. “A Test of Services Marketing Theory: Consumer
Information Acquisition Activities.” Journal of
Marketing. Vol. 55 January, (1991): 10-25.
Myers, S.K. “Information Search in Higher Education Choice.”
108
Naude, P., Ivy, J. “The Marketing Strategies of Universities in the
United Kingdom.” The Journal of Educational
Management, Vol. 13 No.3, (1996): 126-134.
Smith, D., Scott, P., Lynch, J. The Role of Marketing in the
University and College Sector. Leeds: Heist
Publications, 1995.
Rober ts, D., Higgins, T. Higher Education: The Student
Experience, Ch. 10, Leeds, (1992): 115.
Master of Marketing Thesis. Faculty of Business, Curtin
University of Technology, WA: 1996.
Nicholls, J.R ., Wong, T.H. “The Marketing of Educational
Services.” Proceedings of the Conference of the
Saunders, J.A ., Hamilton, S.D., Lancaster, G.A . “A Study of
Variables Governing Choice of Course in Higher
Education.” Assessment in Higher Education. Vol.3
(1978): 203-36.
Academy of Business. London, No. April 1988.
Nicholls, J. et .al Lecturer at the School of Management,
University of Bath, Bath, UK Journal of
Educational Management. Volume 9 Number 2
(1995): 31-38.
A Quarterly Journal
Sevier, R. “How Students choose a College.” Currents, Vol.13
(1987): 146-52.
Welki, A.M., Navratil, F.J. “The Role of Applicants’ Perceptions
in the Choice of a College.” College and University.
Vol. 62 (1987): 147-59.
109
Supply Chain Disruption:
Risk and Management
Jose Paul
Most Companies are caught unaware when there is disruption in their supply chain and to
combat this situation they often tend to blame it on the Events, People, Technology, Operations,
Facilities, that were responsible for its very cause. In fact, these Happenings should be largely
predicted before their occurrences and preventive standards should be put into place so that
the damage they tend to cause would be lesser and the Company can easily recover without
spending extra valuable dollars or Resources. The ability of the Organization is put into real test
during such distractions. Some disruptions are under our control and we can be well equipped
in advance to face them with systematic planning in Risk and Disaster Management.
W
hen it comes to global supply chains, the potential for
as the operational risks and possibilities of disruption are
disruption comes in many forms, from large-scale natural
pretty high. And one of the biggest challenges in managing
disasters and terrorist attacks to plant manufacturing
these disruption risks “has to do with the fact that global
fires, wide-spread electrical blackouts,
supply chains are in a state of
and operational challenges such as
continuous evolution.”
shipping ports too small to handle the
flow of goods coming into a country.
Like Murphy ’s Law, disruptions in
Today’s leaner, just-in-time globalised
supply chains seem inevitable and
supply chains are more vulnerable than
should be a high priority topic for
ever before to natural and man-made
senior m a n a g e m e n t a n d s h a r e disasters — a reality that creates greater
holders.
demands on companies to keep
supply chains flexible and integrate
Disruption risk has received
disruption risk management into every
P r o f . J o s e P a u l , P r o f e s s o r o f M a r k e t i n g a n d increasing attention in the last few
facet of supply chain operations.
S t r a t e g i c M a n a g e m e n t , H o l y G r a c e A c a d e m y years. The reason is undoubtedly
o f M a n a g e m e n t S t u d i e s , K u r u v i l a s s e r y P. O. , M a l a ,
that, with longer paths and shor ter
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So many companies are trying to get
clock speeds, there are more
their piece of the global advantage,
oppor tunities for disruption and a
A Quarterly Journal
smaller margin for error if a disruption takes place.
Managing supply chain disruptions revolves around two goals:
a. To thoroughly understand the potential of identified
risks; and
b. To increase the capacity of the supply chain — within
reasonable limits — to sustain and absorb disruption
without serious impact.
Identifying the Risks
There are three main sources of supply chain disruption risk:
1.
Operational contingencies - equipment malfunctions
and systemic failures, abrupt discontinuity of supply
(when a main supplier goes out of business),
bankruptcy, fraud, or labour strikes;
2. Natural hazards such as ear thquakes, hur ricanes,
storms;
3.
Ter rorism or political instability
Which category would a company consider the most threatening?
Companies generally focus on the risks that they can see and most
of us focus on those risks that someone would hold us accountable
for. So when you get to a risk such as political instability or terrorism,
most people don’t worry about it that much or they worry but they
don’t focus on it. For instance, you generally are not going to get
fired for not having a plan if a terrorist blows up your building.
When it comes to developing a strategy to reduce the risks of
future terrorist activities, we do not know who the perpetrators
are, their motivations, the nature of their next attack and where it
will be delivered. Hence it is extraordinarily difficult to know
what protective actions to take.
Individuals and companies are not very concerned about the natural
disasters prior to their occurrence. Only after the event when it is
often too late do they want to take protective action. Over time this
concern dissipates. Thus it is very common for people to cancel
their flood or earthquake insurance policies if they have not
experienced losses from one of these events in several years.
Discovering Vulnerabilities
Supply chain experts suggest that the key to first mitigating and
then managing disr uption risks understands a company ’s
vulnerabilities.
A Quarterly Journal
110
Experts note that vulnerabilities need to be analyzed throughout
the supply chain — from critical processes and equipment to
manufacturing and warehousing sites, from technology and
transportation to distribution and management. Granted, this
is not always easy, because it requires information sharing
across supply chain participants. Typically, a company with
“special vulnerabilities may have every incentive to hide these
from other supply chain par ticipants.” While cur rent
communication and information technologies such as ERP
(Enterprise Resource Planning) systems and CPFR
(Collaborative Planning, Forecasting and Replenishment)
methods allow for improved information integration and
supply chain visibility. Vulnerabilities to disr uption are,
by their very nature, more difficult to identify.
The following Four steps will help companies identify their
vulnerabilities:
1. Obtain senior management understanding and approval,
and set up organizational responsibilities for managing
the disruption risk management process.
2. Identify key processes that are likely to be affected by
disruptions and characterize the facilities, assets and
human populations that may be affected. Key processes
typically include new product development, supply
chain operations, and manufacturing. Key assets include
both tangible assets (proper ty and inventory) as well
as intangible assets (brand image, public perceptions).
3. Traditional risk management is then under taken for each
key process to identify vulnerabilities, triggers for these
vulnerabilities, likelihood of occurrence, and mitigation
and risk transfer activities. This is the hear t of the
traditional industrial risk management process for
disruption risks.
4. Repor ting, periodic auditing, management and legal
reviews of implementation plans and on-going results
(e.g., of near-miss management and other disruption
risks) complete the business process for disruption
risk management. The audit process is essential to
providing on-going feedback to management and
supply chain par ticipants on the per for mance of their
facilities and their compliance with agreed, supplychain wide standards.
111
Contingency Planning and the ‘Triple-A’ Threat
Redundancy and Other Strategies for Flexibility
What happens when a company that understands its
vulnerabilities as well as its overall risk architecture confronts
disaster?
The companies should carefully segment their products and
product lines in order to understand which ones is more
time sensitive and critical than others. If I’m going to spend
time thinking about how I can bullet-proof the supply chain
or make it more resilient, I’m going to do it around products
or processes where time is most critical.
Contingency planning — the act of knowing secondary
sources to turn to for supplies, manufacturing, or
transpor tation needs when primary sources are
interrupted. Great companies create supply chains that
respond to sudden and unexpected changes by
b u i l d i n g “ Tr i p l e - A” s u p p l y c h a i n s t h a t a r e a g i l e ,
adaptable and aligned:
♦ Agile Supply Chains - respond quickly to sudden
changes in supply or demand. Continuously provide
supply chain par tners with data on changes in supply
and demand so they can respond promptly; collaborate
with suppliers and customers to redesign processes,
components, and products in ways that give you a head
star t over rivals; finish products only when you have
accurate information on customer preferences; keep a
small inventory of inexpensive, non-bulky product
component to prevent manufacturing delays.
♦ Adaptable Supply Chains - adjust supply chain
design to accommodate market changes. Track
economic changes, especially in developing
countries; use intermediaries to find reliable vendors
in unfamiliar par ts of the world; create flexibility by
ensuring that different products use the same
components and production processes; create
different supply chains for different product lines,
to optimize capabilities for each.
♦ Aligned Supply Chains - establish incentives for
supply chain par tners to improve per for mance of
the entire chain. Provide all par tners with equal
access to forecasts, sales data and plans; clarify
par tners’ roles and responsibilities to avoid
conflict; redefine par tnership ter ms to share risks,
costs and rewards for improving supply chain
performance; align incentives so that players
maximize overall chain performance while also
maximizing their retur ns from the par tnership.
A Quarterly Journal
Once these areas have been identified, identify along that
path the sources of greatest risk and look for ways to manage
that — hedging inventories, looking at redundant carrier
options, for instance. You can build in redundancy for those
critical items.
When planning for redundancy, companies have to ask,
“How much protection can you take? It’s like insurance —
only some things are wor th insuring against. It will depend
a lot on what your business margins are and what the costs
of failure are. When it comes to redundancy planning,
transpor tation options or redundant carrier options are
of ten high on a company ’s list. To figure out why, look no
fur ther than the shipping backlog in London last winter.
But building in transpor tation redundancy or shipping
flexibility is tricky. If your shipment is on one of 50 ships
waiting to unload, your choices are a bit limited. Often,
companies can only hedge these risks by making sure their
shipments are last on and first off.
In anticipation of rail or trucking strikes, companies often split
their shipping business in order to build transpor tation
relationships with more than one company. People do this a
lot. They offer 80 to 60 per cent to one supplier, and 20 to 40
per cent to the other. But how impor tant are they if they are
only doing 20 per cent of their business with a company? Do
you really achieve anything?
Identify the ‘choke points’ along the supply chain that
would completely harm a business if disruption occurred;
and then taking the right set of preventative measures to
allow for some protection, remembering to periodically
review your supply chain plans and risk assessment
priorities.
But the real story is that you don’t have to run faster than
the bear; you just have to outrun the folks you are with. If
you can figure out that there has been a disruption faster
than others in your industry, you have a lot more options. If
you are the first person to come to a DHL and say, ‘We are
going to have a problem and need your help’ — you get a
good response. If you are the fifth guy to come over, now
they have a problem because their capacity is full.
A Quarterly Journal
112
The Bottom Line?
You can’t protect against every risk. But if you can be quick
to identify that there is a problem emerging and you’ve
thought about it a little bit in advance and mobilized your
options that are the essence of risk management.
113
Skimming and
Scanning
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Book Title
:
Text and Cases
Authors
:
Krishna K.Havaldar and Vasant M.Cavale
Edition
:
2007
ISBN
:
0-07-061190-4
Content
:
16 Texts and 11 Cases
Publisher
:
Tata McGraw-Hills Pblg. Co.Ltd., New Delhi.
S
ales and Distribution Management written by Krishna
K. Havaldar and Vasant M. Cavale could be easily rated
as one of the better text books of its kind that have
been published recently on this topic. Although the principles
and theories in the management of both sales and distribution
have remained mostly unchanged, the emerging scenario of new
markets, products, services, and even new customers have been
always challenging the sales personnel and the channel members.
An organization is able to excel in its sales or distribution
performance by constantly improving the competences of the
concerned personnel and this book, expected “to fulfill the need
to have an integrated course on sales management and
distribution,” should help the business students perform better
as effective managers in the future.
One of the striking features of the book could very well be
that the authors have followed a lucid narrative style coupled
with a highly structured format. Each chapter is summed up
and followed by a sor t of glossary, questions of conceptual,
objective, and application nature, and shor t cases relating to
the main topic covered. In the end, some longer versions of
cases too have been appended. A student can evaluate his/
her comprehension of the subjects covered in the chapter
by going through these simple exercises.
Inter net, the versatile tool as it has emerged by now,
A Quarterly Journal
complemented by the speed and facility of the digital
technology do not however receive full focus during the
discussions on various approaches toward an efficient and
effective sales management. In B2B par ticularly, the influence
of Internet as a great enabler or facilitator cannot quite be
altogether sidestepped or overlooked. Even an ordinary sales
executive has been greatly empowered by the Internet in not
only compiling and filing his repor ts online but also in the
matter of preparing himself most adequately to make the next
call. A separate chapter provided to gain a highly focused
discourse on sales administration through the use of Internet
would have proved to be of splendid value.
The text seems to have pretty well covered all the important
areas in the management of distribution channels. What
perhaps could have been dealt with par ticular emphasis on
was the need and relevance for identifying and overcoming
the “gaps” that many times plague the distribution system.
The design module could afford to have more of an in-depth
discussion on the supply and demand side factors that would
have to be considered while designing and improving the
efficiency and effectiveness of the distribution channels.
Another area which needed to have been dealt with in some
details could have been the growing trend of disintermediation
evolving in the channel systems (not withstanding the coverage
in the text under 10.36, 10.37). Once again, the Internet is mostly
responsible for speeding up transactions and reducing
distribution costs by enlarging the scope of reaching out more
customers whereever they are (death of the distance) and
whenever they want (24 x 7). The challenges posed by the
e-tailers to the brick and mortar retail outlets by providing more
and more products and services to the customers are quite
severe and to some extent, create heart burns among the retail
industry. The brick and mor tar outlets have to axiomatically
turn toward multi-channel retailing to overcome these
challenges. In the Indian context too, these trends are bound
to gain fur ther momentum with the tremendous growth that
is being registered in the number of individuals and
households gaining access to personal computers and broad
band connectivity.
Although it might be considered a new approach to number
all pages in a chapter separately, the traditional method of
numbering all pages in an ascending order could still be
A Quarterly Journal
114
retained especially since the texts runs into nearly 520 pages.
A few snapshots of business situations through colour
pictures or drawings would also have enhanced the presentation.
In all broad respects, the book does seem to have achieved
the prime objective of the authors in generating sufficient
interest and value by focusing on the importance of integrating
the sales and distribution functions to such an extent that some
times it appears difficult to separate the boundaries between
these two functional areas in marketing. The book should
definitely be considered as a first class text for use in the class
room and as an authoritative source for reference by the
managers.
Prof.Varma R.T.R.
HOD-Marketing
SCMS-COCHIN
Prathap Nagar, Muttom
Aluva-683 106, Cochin
115
Skimming and
Scanning
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Book Title
:
Advertising & Marketing in Rural India
Edited by
:
Tej K.Bhatia
Edition
:
Second
Price
:
Rs.465/-
ISBN
:
0230-63389-7
Pages
:
327
Publisher
:
Macmillan India Ltd., New Delhi.
T
ej K.Bhatia is Professor in Linguistics and Cognitive
Sciences Programmes at Syracuse University, Syracuse,
New York. As a veteran of linguistics he had gone to
explore the various facets of rural marketing communication,
especially rural adver tising in India with a clear purpose and
firm commitment. The result is an authoritative book on rural
communication in the Indian context – Adver tising and
Marketing in Rural India.
Rural India had grown at a fast pace during the past two
decades, thanks to the economic liberalization and
globalisation processes initiated by the Indian government.
The Indian rural market with its vast size and demand base is
growing steadily. It offers enormous oppor tunities for those
who want to expand their customer base.
Rural India has a large consuming class with 41 per cent of
India’s middle class and 58 per cent of the total disposable
income. The rural market accounts for 70 per cent of toilet
soap users, and almost 50 per cent of TV sets, fans, pressure
cookers, bicycles, washing soaps, detergents, tea, salt and
tooth powder. The rural market for FMCG products is growing
much faster than the urban counterpar t.
While the rural market may be alluring it is not without its
problems. Low per capita disposable income, acute
A Quarterly Journal
dependence on vagaries of monsoon, seasonal consumption
linked to harvests and festivals, poor connectivity, power
problems, inaccessibility to conventional communicationadver tising media, cultural and language barriers etc. are
some of the impor tant problems influencing the r ural
population.
This makes capturing rural consumer more difficult. Yet, the
marketers who understand the rural consumer and fine-tune
their strategies are sure to reap rich benefits.
It is in this context that Tej K.Bhatia’s book Adver tising and
Marketing in Rural India becomes impor tant to us. He has
written a number of books on linguistics. But this is his first
book on Rural Adver tising and Rural Marketing. Soon after
its publication in 2000, the book went out of print. Requests
for the book poured in. It led to the publication of this
revised second edition with necessary updating and
improvements.
This book explores the various facets of rural media and
integrated marketing communication in India. It is indeed
a formidable task to reach the more than 638,000 villages
in India with a wide variety of cultures and a vast diversity
of languages. Yet, there are many who had ventured into
this market with guts and determination and successfully
translated their effor ts into rich dividends. Therefore,
Bhatia calls our attention to how the Indian adver tisers
could devise new for ms of adver tising to radically
transfor m the r ural adver tising scene of the 1990s in ter ms
of reach and customizing of messages.
In 1997, Bhatia spent about five months in India traveling in
the Nor th, West and East zones to collect core data for the
book.
Bhatia’s exploration brings out very valuable insights into the
peculiar behavioural patterns of the Indian rural audience and
the unique tried and tested methods used to reach them.
According to him, since there had not been any such
systematic study done earlier on rural adver tising in India, his
study has become the first of its kind.
The scientific study made by him has brought to light
several bright spots and blind spots as well, in the rural
adver tising field. In a way it provides a platform for us to
develop our own strategies for a more effective means of
communicating our messages to the rural population. It
also points out to the need for a rethinking on the present
way things are being done by many marketers.
Language being an impor tant vehicle to transmit the
adver tising message, he discusses the various aspects
of communication and language in relation to adver tising,
especially structural, semantic, and psycho/ neurolinguistic
factors with a view to uncover the complexity of adver tising
language. Analyzing several cases he concludes that
adver tisers can optimize the strength and appeal of their
messages by mixing languages and scripts. Mixing is
A Quarterly Journal
116
gaining more and more popularity in the adver tising field
not only because it enhances communication but also
because it helps more creativity. In effect, while diversity
of languages in our country is an impediment to free flow
of communication, viewing it from a different angle, the
impediment can also be conver ted into an advantage by
appropriately mixing different languages and even scripts.
Religion and spirituality have come to represent major
forces in rural adver tising in India, the author makes another
notable observation. Religious appeals had played a
powerful role in shaping and reshaping rural adver tising in
the past. It will continue to be so in future too, according to
Bhatia.
The book also discusses other interesting topics like nonconventional media, social and developmental campaigns,
imaging women, television serials, films, audio cassettes,
music videos etc. The illustrated book comes with plenty
of colour plates of samples of adver tisement campaigns.
The book is useful to every one concerned with rural
m a r ke t i n g a n d a d v e r t i s i n g – a d v e r t i s e r s , a d v e r t i s i n g
agencies, academicians, students of management etc.
Prof.B.Unnikrishnan
HOD - Mass Communication and
Editor - ‘SCMS NEWS’
SCMS-COCHIN
117
Skimming and
Scanning
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Book Title
:
The HR Answer Book
Edited by
:
Shawn Smith , JD and Rebecca Mazin
Edition
:
2007
Price
:
Rs.325/-
ISBN
:
978-81-203-3125-9
Pages
:
244
Publisher
:
Prentice Hall of India Pvt. Ltd., New Delhi.
I
n this highly volatile, turbulent and competitive business
environment, getting and keeping good people is a major
challenge for every manager. This book serves as a guide for
business owners or executives with HR questions, managers
(looking for guidance as HR issues in their day-to-day activities),
HR professionals (relatively new to the field hoping to broaden
their knowledge on the wide range of work place employment
issues), or those (operating without a corporate office) or
senior HR manager to look to.
This book touches all the essential HR functions, from
core employment practices, such as hiring,
compensation and benefits to the emerging hot button
issues in HR management such as workplace privacy,
internet, e-mail, and technology issues. The language is
simple and it is a practical guide to practising managers.
The book comprises ten chapters. Each chapter deals
with a par ticular HR function. Chapter 1 which is employee
selection deals with how we find, attract and select the
best. It has handles all the hiring process from placing an
adver tisement to making a job offer. The second chapter
which is on HR policies tackles the issues on “why do we
need them and what should they look like?” This chapter
deals with the relevance of an employee handbook and what all
should be its contents. It concludes with a remark on
‘how about an electronic handbook.’ Chapter three is
A Quarterly Journal
about performance management and it deals with how to
evaluate employee performance and conduct meaningful
performance reviews.
Chapter four which is about training and development deals
with how successful companies improve and enhance
workforce skills. Employee relations and retention are dealt
with in chapter five, and chapter six states how compensation
has critically taken up the issues regarding stock options.
Chapter seven, eight, nine and ten have dealt with
employee benefits, regulatory issues (when bad things
h a p p e n t o g o o d e m p l o y e r s ), a n d t e r m i n a t i o n a n d
discharge respectively.
The HR Answer Book is a recommendable book because
it is meant for HR practitioners and this objective is
fulfilled. It can be recommended for management students
and also for the academicians who handle the various
courses on HR Management.
Dr.Susan Chirayath
Principal-SSTM
Prathap Nagar, Muttom,
118
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Book Title
:
Author
:
Ram Charan
Edition
:
2008
Price
:
Rs.295/-
ISBN
:
067008185-X
Pages
:
178
Publisher
:
Penguin Books India Pvt.Ltd., New Delhi.
T
he latest book from Ram Charan, famous for his ability to
explain complex business issues in simple terms, explains
why in this era of internet the conventional price-centric
approach will not make sellers succeed. Sellers may have
excellent products, customer relationships, great strategies,
differentiated technologies, faster times to market high
operational efficiencies etc but still fail to get the sale. Sellers
have to actually help customers meet their financial expectations,
win against their competitors and succeed in the market place
or help customers’ businesses to succeed in many dimensions.
While customers may not articulate their requirement in explicit
terms, they want their suppliers to help them accomplish their
goals by acting as partners and not as one-time transactors.
In order to achieve such a scenario, the seller or supplier should
know how the customers’ business works so that you as a
supplier/seller can make it work better. And, the conventional
sales approach will not enable you to achieve this. One has to
adopt a new radical yet practical approach. Such an approach
will help a supplier to release itself from the hell of
commoditization and low prices. It can help one to differentiate
from competition, lead to better prices & margins and, even
higher revenue growth. At the heart of this new approach to
selling is an intense focus on the prosperity of one’s customers.
The approach is radical because no longer you measure your
A Quarterly Journal
own success first. Instead you measure your success by how
well your customers are doing with your help. You are not
selling a specific product or service; you are focused on how
your company can help the customer succeed in all the ways
that are impor tant to the customers. In shor t, you help
customers meet their business goals & priorities by adding
value to them. Charan says that this ability to create value for
customers will differentiate you in the marketplace and you
will be able to command a price for it and he calls this new
approach Value Creation Selling or VCS.
According to Charan, VCS is radically different from how most
companies sell today in five ways:
Ø
The seller and its organization devote large amounts
of time and energy much more than it devotes today
to learn about the customer ’s business in great
detail. One should probe to find out what are the
customer ’s goals, which financial measures they
concentrate on, how they create market value and
what key factors differentiate their products or
services from competition etc. While one may be
tempted to look at these from a shor t term, Charan
advises that greatest oppor tunities lie in the medium
and long term.
119
Ø
Use your capabilities and tools to understand how
your customers do business and how you can help
them to improve that business. The sales force alone
may not be able to achieve this. You need to muster
suppor t from many parts of your company in order
to achieve that. People from every depar tment will
have to become intimately familiar with your
customer. You have to compile large amounts of
information, both facts and impressions in order to
determine the best approach for helping your
customers win. This may necessitate frequent formal
and informal interaction between people and
depar tments within your company and between
your company and the customer.
trends in the customer ’s industry and more important how the
customer ’s business makes money today and how it will
continue to make money in future. They must develop a very
clear idea about the customer ’s business needs. They should
also understand that VCS doesn’t end once the sale is made.
The VCS is most relevant for any B2B company. And everybody
in the organization must understand this is no quick-fix solution.
Value creation selling is not just reducing the costs for the
customers, it is also about increasing revenues for them. Author
cites the experience of Tyco Electronics which supplies
equipments to Toyota, Japan. Tyco’s people are located in
Toyota’s factories where they can get and give ideas to improve
Toyota’s cars by improving their own products. Tyco, according
to Charan, is selling value and not just products to Toyota.
Ø
You have to gain knowledge about not only your
customer but also your customer ’s customers. To
tailor your solution to your customer ’s markets, you
have to know who their customers are, what they
want, what their problems and attitudes are and what
decision making process they use. You have to work
back from the needs of the end customers to the
needs of your customer or you should have
knowledge about the customer value chain.
Charan has identified nine malaises which act as indicators
of the breakage of the selling process:
The execution of this VCS approach needs longer
cycle times to lead to generation of orders and
revenues. The approach requires patience,
consistency and determination on your part to build
a high degree of trust with your customers. This is
necessary as this new relationship between you and
the customer has to be far deeper than in the past for
two-way information exchange to take place.
2. Entire discussion about a possible sales revolves around
price rather than value addition possibilities.
Ø
Ø
The top management has to reengineer the reward
and recognition systems to make sure that the
organization as a whole is fostering the behaviours
that will make the new approach effective. It is not
just the sales target but also other efforts mentioned
under the four points above. Members of the other
depar tments who contribute to the new approach
also shall be recognized and rewarded for their
effor ts.
The sales people have to develop an ability to research and
understand the customer ’s business, like market segments and
A Quarterly Journal
1. Your sales force spends most of their time with the
customer ’s purchasing depar tment. Purchase
depar tment is mostly a mere order executor and the
decision maker regarding the purchase may be located
elsewhere: in marketing , production, product design,
engineering etc.
3. Sales training is mostly focused on improving conventional
sales techniques of being persistent and working under
pressure. Charan says this will not result in any improved
results as you are not trying to solve the real problems of
the customer.
4. Incentive schemes are designed to toughen the sales force
to get better prices and better margins. These may not
result in any value addition for their customers.
5. More intense focus is on customers. While the intensity
increases, it doesn’t solve the fundamental problems that
affect sales.
6. Sales people are not included in the design of the
company ’s offering. Nobody recognizes that sales
person is the single person in the company who knows
about what customers want or need. This robs the
company of its insights into the customers.
120
7. Little thought is given about and less interaction with
the customer ’s customers. Delivering what the
customer ’s customers want only will make customer ’s
customers happy and hence you should have developed
an idea how you can help the customers to achieve their aim.
1.
8. Sales people are internally focused. They are mostly
concerned about how to meet the administrative
demands on their jobs rather than helping the customers
to improve his benefits.
4.
5.
9. Sales management is convinced it is doing a good job.
Mostly they will be chasing new orders or satisfying the
existing customers with after sales service. Sales people
don’t get time to develop a business acumen about how
the customer makes money.
Charan quotes Lou Eccleston, former President of Global
Sales, Marketing & Ser vices at Thomson Financial “ Your
success is governed by how well you understand what
you can do to create value for the customer. If you can’t
impact the customer ’s per for mance in a positive way,
then you are going to be a commodity product and you
are going to get commodity prices.” Charan cites the
experience of the company Unifi Inc, a Nor th Carolina
based textile company to underscore how VCS can
dramatically achieve a tur naround in the for tune of a
company. Sales people have to become business
thinkers, developing their business acumen to diagnose
their own and their customer ’s businesses.
VCS is a customer-centric strategy. Hence sales people
and companies must make enough effor ts to put the
customer at the centre of whatever the company does.
Information: The key to VCS : According to Charan,
information is at the heart of the VCS. Detailed information, both
facts and impressions are required. The more you know about
your customer, the better you and your company will be at
identifying his concerns and take initiatives that address those
concerns. When it comes to information, it is not the quantity that
is important but the quality. In order to get information, you have
to become the customer’s trusted partner.
In order to become a trusted partner you must understand the
following:
A Quarterly Journal
2.
3.
The customer ’s oppor tunity and the competitive
structure in which he operates.
The customer ’s customer and the customers and the
customer ’s competition.
How decisions are made in the customer ’s
organization.
The customer ’s company culture, value system etc.
The goals and priorities of the customer for short
term and as well as long term.
Charan suggests that a company should prepare what he
calls a Value Account Plan (VAP), which defines the value
proposition and the business benefits the customer can
expect to get from it. VAP demands great deal of indulgence.
There are three components for VAP:
1.
A customer snapshot which gives the details of
the customer like its locations, business, key
executives, decision makers etc.
2.
The value proposition defining the customer need
you plan to meet, the customized offering to the
par ticular customer, the prices and the implication
of these on your company ’s revenues, costs,
cash, investments and profitability. This has to be
differentiated from the conventional approach in
that it should come out with a list of benefits to
the customer beyond the cost savings to him.
You should look at your offering as a solution to
customer ’s problems and do “value pricing” so
that customer looks at it from a total benefits point
of view and not only cost savings.
3.
List out the business benefits of the value proposition. A
change has happened from thinking about value in terms
of Total Costs of Ownership (TCO) to the Total Value of
Ownership (TVO) which is an estimate of all the benefits
the customer stands to gain. Benefits have to be listed
over a period of time rather than immediate benefits. Not
only quantitative measures like margins, cash flows, ROI,
revenue growth, market share etc but also qualitative
benefits may be listed.
While preparing a VAP, constant interaction with customers may be
required. When you are trying to protect their interests and benefits,
such constant interaction will be welcomed by the customers.
Charan deals in detail how a Value Creations Sales force can
be developed. He cites to pre-requisites for achieving this:
buy-in for the change and extensive training. He is clear that
for creating a VCS, the present way of working cannot be
stopped altogether and the new process star ted. The new
approach has to be tried in parallel while the existing practices
continue. Charan suggests that a star t has to be made with
sales personnel who possess the personal attributes to
understand and execute the new approach. Senior people
from sales must enthusiastically support the initiative for it to
become a success.
Charan quotes the examples of Unifi, Thomson Financial and
Infonxx to tell the reader about the qualities one has to look
for in the sales people. According to Charan, the following
factors assume importance while selecting people suited for
VCS:
1.
Affability: Must be socially affable to establish
excellent relationship with the customer ’s
organization, within his own organization, a great
communicator who acts as a link between the two
organizations.
2.
Conceptualizing problems and solutions: He should
be able to sift through large amounts of unrelated
data to generate alternative ideas about offerings that
work for both the customer and the seller; able to
identify specifically what the customer needs and
how his own organization can create more value for
the customer
3.
4.
Leadership: Leadership in the VCS context has more
to do with the ability to manage a team of people
over whom he may not have any hierarchical
authority. He may be required to facilitate a dialogue
between the seller and the customer and get others
involved to suggest ideas, devise solutions and
make decisions faster, better and deeper than the
competition while keeping profitable revenue
growth in sight.
Tenacity: Extracting customer information necessary
for the VCS is not an easy task. It takes extensive
effor t and time. Collecting and analyzing information
about the customer is a never-ending process. Sales
A Quarterly Journal
121
people must have the patience and tenacity to keep
driving the team and the process.
5.
Business Acumen: Sales people must understand
the customer ’s business and its processes all
expressed in the language of business. Companies
may have to create courses internally to teach these
skills.
While these skills are essential requisites in the sales
people, training the sales force for the behaviours needed
for VCS is essential. The top management must make sure
that the head and regional heads of sales are inducted
into the VCS process and take ownership for the training.
Even a cer tification process can be planned. Linking a
sizable por tion of the rewards, say up to 40 per cent, of
the incentive pay to implementation of VCS can ensure
that leaders take it seriously. One must keep in mind that
this doesn’t happen overnight and require tremendous
effor t and persistence. The best training has to come
from the company ’s senior leaders. Representatives of
the customers’ organization shall also be involved in the
training process. For handling highly specialized areas,
outside exper ts can be sourced.
Charan also explains the process of making the sales pitch
in the VCS scenario. The sales force must be able to present
the quantitative and qualitative benefits to the customers.
The sales pitch team must have at least one exper t in finance
to provide the quantified benefits. While power point
presentation can be used, one must be able to establish the
various points of value proposition. One must be devoted to
listening rather than telling. The purpose is to encourage
dialogues so as to result in better total benefits to the
customers. While customers may not be very articulate about
their concerns, one has to be prepared to deal with three
critical questions that will be at the back of his mind:
1.
Is the value proposition realistic? Credibility rests
on making only those promises you are confident
of fulfilling.
2.
Are the proposed benefits exaggerated or
realistic? Your presentation should precisely
demonstrate how the benefits are delivered and
how their value to the customer calculated.
3.
Can the value proposition be executed in
the customer ’s shop? Despite all the
infor mation collected about the customer, it
is for the customer to implement the value
propositions you make. Depending on how
candidly the customer discusses his ability
or inability will help you to make the changes
to accommodate his concerns. The process
of dialogue with the customer has to be
continued indefinitely in the VCS process.
Charan ends the book with advice on how to sustain the VCS
process momentum and taking it to the next level. Management
has to make VCS its top priority or it will become just another
fad. Top management has to show lot of persistence and energy
to drive the change. They have to bring about a change in the
work ethic. And since the sales force can’t do this alone,
linkages between various functions must be established. Charan
underscores the importance of linking rewards to the whole
VCS process not only for the people in the sales organization
but also for the members of the other functions as their
contributions are also impor tant in the successful
implementation of the VCS.
In order to take VCS to the next level, Charan advises
that the sales people shall not be afraid to raise issues
with the customers. The sales team must be fully
prepared when they go for a discussion or meeting
w i t h t h e c u s t o m e r. O r g a n i z a t i o n s h o u l d h a v e
developed reasonably thorough knowledge of the
customer ’s industr y and their customers. And the
whole process requires a huge change in the way
the company thinks and operates in putting the
customer first.
A Quarterly Journal
122
While those who have already read his earlier books,
especially What The CEO Wants You To Know and Profitable
Growth Is Everybody ’s Business may find a few concepts
repeated, the book provides engrossing reading.
About The Author
Dr. Ram Charan is a highly sought after advisor to businesses
and many chief executives and a prolific writer on business
and an award-winning teacher. He has helped boards and
top executives of a number of companies like GE, Novartis,
Dupont, Honeywell, Bank of America, Home Depot etc on
strategy sessions, successions, self-evaluations, and CEO
compensation. He is co-host of the For tune Boardroom
Forums and has served on the National Association of
Corporate Directors’(NACD) Blue Ribbon Commission on
Corporate Governance. He is a director on the boards of
A u s t i n I n d u s t r i e s , Ty c o E l e c t r o n i c s , a n d E m a a r
Manufacturing in India. He has won a number of Best
Teacher awards from many institutions like Nor thwester n
& GE’s Crottonville Institute.He was rated as one of the
top ten resources for in-house executive development
programmes by Business Week. Dr.Charan has written a
number of best-selling books like What The CEO Wants
You To Know , B o a r d s A t Wo r k , P r o f i t a b l e G r o w t h I s
Everyone’s Business etc and co-authored Every Business
Is A Growth Business (with Noel Tichy and Charles Burck),
Execution (with Larry Bossidy) and Confronting Reality(also
with Lar r y Bossidy).He is based in Dallas, Texas.
Prof. Satheesh Kumar T.N.
Icfai Business School,
Chakrampilly Towers, Puthiya Road
Palarivattom, Kochi-25
123
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A Quarterly Journal
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VOLUME V, NUMBER I
SCMS
JOURNAL OF
INDIAN MANAGEMENT
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JANUARY - MARCH 2008
Listed in Cabell’s Directory
MODEL
Technological Impact on Society: A Model
ENIGMA
DMAIC Methodology: The Enigma of Six Sigma
“THE COUNTRY’
ISSN 0973-3167
K.Babu Joseph
Portfolio Management: Country Funds
Malik N.S.
CYBERNETICS
New “Test”ing Horizons: Web Enabled On-Line
TOURISM
Tourism Destination: Image Building
MAPPING
Perceptual Mapping: The “Country” Consumer
and Toilet Soap Branding
Sampad Kumar Swain
Ramakrishnan Venkatesakumar, Thillai Rajan P. and Ramkumar D.
AD-FRAMEWORK
MAN AND MONEY
AGRI-SITO-SYSTEM
SMARTNESS
Interactivity and Advertising: A Conceptual Framework
Vinod Kumar Singh, Amit Pandey and Vinay Pratap
Aura and Ambience in Human Relations: Private Banks Scene
Anukool Manish Hyde, Sulakshana Deshpande and Mishra D.P.
Livestock Farming and Local Agri-Food System: Scene from Brazil
Guilherme Cunha Malafaia, Julio Otavio Jardim Barcellos
Luis Kluwe Aguiar, and Eugenio Avila Pedrozo
Case of Singrauli: “Energy Smartness”
Ashok Kumar Tiwari and Atul Pandey
COMPETITIVENESS
Referral Marketing in Management Education: An Overview
DISRUPTION
Supply Chain Disruption: Risk and Management
M a l m a r u g a n D.
Jose Paul
Va r m a R.T.R.
Advertising and Marketing
Unnikrishnan B.
SKIMMING AND SCANNING
The HR Answer Book
Susan Chirayath
Satheesh Kumar T.N.
SCMS-COCHIN
SCMS New Campus, Prathap Nagar
Muttom, Aluva-683 106, Kochi, Kerala, India
Ph: 91-484-262 3803 / 262 3804 / 262 3885 / 262 3887 Fax: 91-484-262 3855
E-mail: ed i t o r @ s c m s g r o u p . o r g / s c m s e d i t o r c o c h i n @ y a h o o . c o m
Website: www.scmsgroup.org
a quarterly publication
of
SCMS-COCHIN
Dates of Release: Number I
–
January-March on 1 April
Number II –
April-June on 1 July
Number III –
July-September on 1 October
Number IV –
October-December on 1 January
© SCMS Jour nal of Indian Management, SCMS New Campus, Prathap Nagar, Muttom, Aluva-683 106, Kochi, Kerala, India
Ph: 91-484-262 3803 / 262 3804 / 262 3885 / 262 3887 Fax: 91-484-262 3855, Website: www.scmsgroup.org
E-mail: [email protected] / [email protected] / [email protected]
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publisher. School of Communication and Management Studies and SCMS Jour nal of Indian Management assume
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Editor for and on behalf of SCMS and printed at Maptho Printings, Cochin-683104.
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SCMS Journal of Indian Management Volume V, Number I,
January - March 2008 ,
Pages 1-125

scms journal january

Transcription

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